In this paper we propose FASTA, a stream cipher design optimised for implementation over popular fully homomorphic encryption schemes. A number of symmetric encryption ciphers have been recently proposed for FHE applications, e.g. the block cipher LowMC, and the stream ciphers Rasta (and variants), FLIP and Kreyvium. The main design criterion employed in these ciphers has typically been to minimise the multiplicative complexity of the algorithm. However, other aspects affecting their efficient evaluation over common FHE libraries are often overlooked, compromising their real-world performance. Whilst FASTA may also be considered as a variant of Rasta, it has its parameters and linear layer especially chosen to allow efficient implementation over the BGV scheme, particularly as implemented in the HElib library. This results in a speedup by a factor of 25 compared to the most efficient publicly available implementation of Rasta. FASTA’s target is BGV, as implemented in HElib. However the design ideas introduced in the cipher could also be potentially employed to achieve improvements in the homomorphic evaluation in other popular FHE schemes/libraries. We do consider such alternatives in this paper (e.g. BFV and BGVrns, as implemented in SEAL and PALISADE), but argue that, unlike BGV in HElib, it is more challenging to make use of their parallelism in a Rasta-like stream cipher design.

We introduce lattice-based practical seed-recovery attacks against two efficient number-theoretic pseudo-random number generators: the fast knapsack generator and a family of combined multiple recursive generators. The fast knapsack generator was introduced in 2009 by Von Zur Gathen and Shparlinski. It generates pseudo-random numbers very efficiently with strong mathematical guarantees on their statistical properties but its resistance to cryptanalysis was left open since 2009. The given attacks are surprisingly efficient when the truncated bits do not represent a too large proportion of the internal states. Their complexities do not strongly increase with the size of parameters, only with the proportion of discarded bits. A multiple recursive generator is a pseudo-random number generator based on a constant-recursive sequence. A combined multiple recursive generator is a pseudo-random number generator based on combining two or more multiple recursive generators. L’Écuyer presented the general construction in 1996 and a popular instantiation deemed MRG32k3a in 1999. We use algebraic relations of both pseudo-random generators with underlying algebraic generators to show that they are cryptographically insecure. We provide a theoretical analysis as well as efficient implementations.

The main idea behind lattice sieving algorithms is to reduce a sufficiently large number of lattice vectors with each other so that a set of short enough vectors is obtained, including a basis of the lattice. It is therefore natural to study vectors which cannot be reduced. In this work we give a concrete definition of an irreducible vector and study the properties of the set of all such vectors. We show that the set of irreducible vectors is a subset of the set of relevant vectors and study its properties. For extremal lattices this set may contain as many as $2^n$ vectors, which leads us to define the notion of a complete system of irreducible vectors, whose size can be upper-bounded by the kissing number. We study properties of this set and observe a close relation to heuristic sieving algorithms. Finally we briefly examine the use of this set in the study of lattice problems such as SVP, SIVP and CVPP. The introduced notions, as well as various results derived along the way, may provide further insights into lattice algorithms and motivate new research into understanding these algorithms better.

This paper presents a design space exploration for SABER, one of the finalists in NIST’s quantum-resistant public-key cryptographic standardization effort. Our design space exploration targets a 65nmASIC platform and has resulted in the evaluation of 6 different architectures. Our exploration is initiated by setting a baseline architecture which is ported from FPGA. In order to improve the clock frequency (the primary goal in our exploration), we have employed several optimizations: (i) use of compiled memories in a ‘smart synthesis’ fashion, (ii) pipelining, and (iii) logic sharing between SABER building blocks. The most optimized architecture utilizes four register files, achieves a remarkable clock frequency of 1𝐺𝐻𝑧 while only requiring an area of 0.314𝑚𝑚2. Moreover, physical synthesis is carried out for this architecture and a tapeout-ready layout is presented. The estimated dynamic power consumption of the high-frequency architecture is approximately 184mW for key generation and 187mW for encapsulation or decapsulation operations. These results strongly suggest that our optimized accelerator architecture is well suited for high-speed cryptographic applications.

Belenios is an online voting system that provides a strong notion of election verifiability, where no single party has to be trusted, and security holds as soon as either the voting registrar or the voting server is honest. It was formally proved to be secure, making the assumption that no further ballots are cast on the bulletin board after voters verified their ballots. In practice, however, revoting is allowed and voters can verify their ballots anytime. This gap between formal proofs and use in practice leaves open space for attacks, as has been shown recently. In this paper we make two simple additions to Belenios and we formally prove that the new version satisfies the expected verifiability properties. Our proofs are automatically performed with the Tamarin prover, under the assumption that voters are allowed to vote at most four times.

Key dependent message (KDM) security is a security notion that guarantees confidentiality of communication even if secret keys are encrypted. KDM security has found a number of applications in practical situations such as hard-disk encryption systems, anonymous credentials, and bootstrapping of fully homomorphic encryptions. Recently, it also found an application in quantum delegation protocols as shown by Zhang (TCC 2019). In this work, we investigate the KDM security of existing practical public-key encryption (PKE) schemes proposed in the quantum random oracle model (QROM). Concretely, we study a PKE scheme whose KEM is constructed by using Fujisaki-Okamoto (FO) transformations in the QROM. FO transformations are applied to IND-CPA secure PKE schemes and yield IND-CCA secure key encapsulation mechanisms (KEM). Then, we show the following results. - We can reduce the KDM-CPA security in the QROM of a PKE scheme whose KEM is derived from any of the FO transformations proposed by Hofheinz et al. (TCC 2017) to the IND-CPA security of the underlying PKE scheme, without square root security loss. For this result, we use one-time-pad (OTP) as DEM to convert KEM into PKE. - We can reduce the KDM-CCA security in the QROM of a PKE scheme whose KEM is derived from a single variant of the FO transformation proposed by Hofheinz et al. (TCC 2017) to the IND-CPA security of the underlying PKE scheme, without square root security loss. For this result, we use OTP-then-MAC construction as DEM to convert KEM into PKE. Also, we require a mild injectivity assumption for the underlying IND-CPA secure PKE scheme. In order to avoid square root security loss, we use a double-sided one-way to hiding (O2H) lemma proposed by Kuchta et al. (EUROCRYPT 2020). In the context of KDM security, there is a technical hurdle for using double-sided O2H lemma due to the circularity issue. Our main technical contribution is to overcome the hurdle.

Fully homomorphic encryption (FHE) enables a simple, attractive framework for secure search. Compared to other secure search systems, no costly setup procedure is necessary; it is sufficient for the client merely to upload the encrypted database to the server. Confidentiality is provided because the server works only on the encrypted query and records. While the search functionality is enabled by the full homomorphism of the encryption scheme. For this reason, researchers have been paying increasing attention to this problem. Since Akavia et al. (CCS 2018) presented a framework for secure search on FHE encrypted data and gave a working implementation called SPiRiT, several more efficient realizations have been proposed. In this paper, we identify the main bottlenecks of this framework and show how to significantly improve the performance of FHE-base secure search. In particular, 1. To retrieve $\ell$ matching items, the existing framework needs to repeat the protocol $\ell$ times sequentially. In our new framework, all matching items are retrieved in parallel in a single protocol execution. 2. The most recent work by Wren et al. (CCS 2020) requires $O(n)$ multiplications to compute the first matching index. Our solution requires no homomorphic multiplication, instead using only additions and scalar multiplications to encode all matching indices. 3. Our implementation and experiments show that to fetch 16 matching records, our system gives an 1800X speed-up over the state of the art in fetching the query results resulting in a 26X speed-up for the full search functionality.

Simon and Simeck are two lightweight block ciphers with a simple round function using only word rotations and a bit-wise AND operation. Previous work has shown a strong clustering effect for differential and linear cryptanalysis, due to the existence of many trails with the same inputs and outputs. In this paper, we explore this clustering effect by exhibiting a class of high probability differential and linear trails where the active bits stay in a fixed window of $w$ bits. Instead of enumerating a set of good trails contributing to a differential or a linear approximation, we compute the probability distribution over this space, including all trails in the class. This results in stronger distinguishers than previously proposed, and we describe key recovery attacks against Simon and Simeck improving the previous results by up to 7 rounds. In particular, we obtain an attack against 42-round Simeck64, leaving only two rounds of security margin, and an attack against 45-round Simon96/144, reducing the security margin from 16 rounds to 9 rounds.

We propose a new theoretical approach for building anonymous mixing mechanisms for cryptocurrencies. Rather than requiring a fully uniform permutation during mixing, we relax the requirement, insisting only that neighboring permutations are similarly likely. This is defined formally by borrowing from the definition of differential privacy. This relaxed privacy definition allows us to greatly reduce the amount of interaction and computation in the mixing protocol. Our construction achieves $O(n \cdot polylog(n))$ computation time for mixing $n$ addresses, whereas all other mixing schemes require $O(n^2)$ total computation across all parties. Additionally, we support a smooth tolerance of fail-stop adversaries and do not require any trusted setup. We analyze the security of our generic protocol under the UC framework, and under a stand-alone, game-based definition. We finally describe an instantiation using ring signatures and confidential transactions.

We initiate a study of the composition properties of interactive differentially private mechanisms. An interactive differentially private mechanism is an algorithm that allows an analyst to adaptively ask queries about a sensitive dataset, with the property that an adversarial analyst's view of the interaction is approximately the same regardless of whether or not any individual's data is in the dataset. Previous studies of composition of differential privacy have focused on non-interactive algorithms, but interactive mechanisms are needed to capture many of the intended applications of differential privacy and a number of the important differentially private primitives. We focus on concurrent composition, where an adversary can arbitrarily interleave its queries to several differentially private mechanisms, which may be feasible when differentially private query systems are deployed in practice. We prove that when the interactive mechanisms being composed are pure differentially private, their concurrent composition achieves privacy parameters (with respect to pure or approximate differential privacy) that match the (optimal) composition theorem for noninteractive differential privacy. We also prove a composition theorem for interactive mechanisms that satisfy approximate differential privacy. That bound is weaker than even the basic (suboptimal) composition theorem for noninteractive differential privacy, and we leave closing the gap as a direction for future research, along with understanding concurrent composition for other variants of differential privacy.

Peer-to-peer distributed hash tables (DHTs) rely on volunteers to contribute their computational resources, such as disk space and bandwidth. In order to incentivize these node operators of privacy-preserving DHTs, it is important to prevent exposing them to the data that is stored on the DHT and/or queried for. Vasserman et al.'s CROPS aimed at providing plausible deniability to server nodes by encrypting stored content. However, node operators are still exposed to the contents of queries. We provide an architecture that uses information-theoretic private information retrieval to efficiently render a server node incapable of determining what content was retrieved in a given request by a user. We illustrate an integration of our architecture with the aforementioned system. Finally, we simulate our system and show that it has a small communication and performance overhead over other systems without this privacy guarantee, and smaller overheads with respect to the closest related work.

We propose a tool for automated truncation of differential trails in ciphers using modular addition, bitwise rotation, and XOR (ARX). The tool takes as input a differential trail and produces as output a set of truncated differential trails. The set represents all possible truncations of the input trail according to certain predefined rules. A linear-time algorithm for the exact computation of the differential probability of a truncated trail that follows the truncation rules is proposed. We further describe a method to merge the set of truncated trails into a compact set of non-overlapping truncated trails with associated probability and we demonstrate the application of the tool on block cipher Speck64. We have also investigated the effect of clustering of differential trails around a fixed input trail. The best cluster that we have found for $15$ rounds has probability $2^{-55.03}$ (consisting of 389 unique output differences) which allows us to build a distinguisher using $128$ times less data than the one based on just the single best trail, which has probability $2^{-62}$. Moreover, we show examples for Speck64 where a cluster of trails around a suboptimal (in terms of probability) input trail results in higher overall probability compared to a cluster obtained around the best differential trail.

JUBILEE is a securely computed mechanism for debt relief and forgiveness in a frictionless manner without involving trusted third parties, leading to more harmonious debt settlements by incentivising the parties to truthfully reveal their private information. JUBILEE improves over all previous methods: - individually rational, incentive-compatible, truthful/strategy-proof, ex-post efficient, optimal mechanism for debt relief and forgiveness with private information - by the novel introduction of secure computation techniques to debt relief, the “blessing of the debtor ” is hereby granted for the first time: debt settlements with higher expected profits and a higher probability of success than without using secure computation A simple and practical implementation is included for “The Secure Spreadsheet”. Another implementation is realised using Raziel smart contracts on a blockchain with Pravuil consensus.

Two of the most useful cryptographic primitives that can be constructed from one-way functions are pseudorandom generators (PRGs) and universal one-way hash functions (UOWHFs). In order to implement them in practice, the efficiency of such constructions must be considered. The three major efficiency measures are: the seed length, the call complexity to the one-way function, and the adaptivity of these calls. Still, the optimal efficiency of these constructions is not yet fully understood: there exist gaps between the known upper bound and the known lower bound for black-box constructions. A special class of one-way functions called unknown-regular one-way functions is much better understood. Haitner, Harnik and Reingold (CRYPTO 2006) presented a PRG construction with semi-linear seed length and linear number of calls based on a method called randomized iterate. Ames, Gennaro and Venkitasubramaniam (TCC 2012) then gave a construction of UOWHF with similar parameters and using similar ideas. On the other hand, Holenstein and Sinha (FOCS 2012) and Barhum and Holenstein (TCC 2013) showed an almost linear call-complexity lower bound for black-box constructions of PRGs and UOWHFs from one-way functions. Hence Haitner et al. and Ames et al. reached tight constructions (in terms of seed length and the number of calls) of PRGs and UOWHFs from regular one-way functions. These constructions, however, are adaptive. In this work, we present non-adaptive constructions for both primitives which match the optimal call-complexity given by Holenstein and Sinha and Barhum and Holenstein. Our constructions, besides being simple and non-adaptive, are robust also for almost-regular one-way functions.

The cube attack is a powerful cryptanalysis technique against symmetric cryptosystems, especially for stream ciphers. One of the key step in a cube attack is recovering the superpoly. The division property has been introduced to cube attacks with the aim first to identify variables/monomials that are not involved in the superpoly. Recently,some improved versions of this technique allowing the recovery of the exact superpoly have been developed and applied on various stream ciphers [13,15]. In this paper, we propose a new model to recover the exact superpoly of a stream cipher given a cube. We model the polynomials involved in the stream cipher as a directed graph. It happens that this structure handles some of the monomial cancellations more easily than those based on division property, and this leads to better timing results. We propose two implementations of our model, one in MILP and one in CP, which are up to 10 times faster than the original division property-based model from Hao et al. [13], and consistently 30 to 60 times faster than the monomial prediction-based model from Hu et al. [15].

With the recent development of Internet of Things (IoT) devices, related security issues are also increasing. In particular, the possibility of accessing and hijacking cryptographic devices is also increasing due to the rapid increase in usage of these devices. Therefore, research on cryptographic technologies that can provide a safe environment even in resource-constrained environments has been actively conducted. Among them, there are increasing security issues of side-channel analysis for devices due to their physical accessibility. The lightweight block cipher PIPO was recently proposed in ICISC 2020 to address these issues. The PIPO has the characteristic of providing robust security strength while having less overhead when using the side-channel analysis countermeasures. A differential fault attack is a type of side-channel analysis that induces fault in cryptographic operations and utilizes difference information that occurs. Differential fault attacks on the PIPO have not yet been studied. This paper proposed a single-bit flip-based differential fault attack on the lightweight block cipher PIPO for the first time. We show that simulations enable the recovery of the correct secret key with about 98% probability through 64 fault ciphertexts. Therefore, the PIPO does not provide security against differential fault attacks. When using the PIPO cipher on IoT devices, designers must apply appropriate countermeasures against fault injection attacks.

In this work, we present a configurable and side channel resistant implementation of the post-quantum key-exchange algorithm Crystals-Kyber. The implemented design can be configured for different performance and area requirements leading to different trade-offs for different applications. A low area implementation can be achieved in 5269 LUTs and 2422 FFs, whereas a high performance implementation required 7151 LUTs and 3730 FFs. Due to a deeply pipelined architecture, a high operating speed of more than 250 MHz could be achieved on 28nm Xilinx FPGAs. The side channel resistance is implemented using a carefully chosen set of techniques resulting in a low overhead of less than 5%. To the best of our knowledge, this work presents the first side-channel attack protected configurable accelerator for Crystals-Kyber. Furthermore, one of the configuration choices results in the smallest hardware implementation of Crystals-Kyber known in literature.

Distributed ledger are maintained through consensus protocols executed by mutually distrustful parties. However, these consensus protocols have inherent limitations thus resulting in scalability issues of the ledger. Layer-2 protocols operate on channels and allow parties to interact with another without going through the consensus protocol albeit relying on its security as fall-back. Prominent Layer-2 protocols are payment channels for Bitcoin that allow two parties to exchange coins, State Channels for Ethereum that allow two parties to execute a state machine, and Hydra heads [FC'21] for Cardano which allows multiple parties execution of Constraint Emitting Machines (CEM). Channels can be concatenated into networks using techniques such as Hashed Timelocked Contracts to execute payments or virtual state channels as introduced by Dziembowski et al. [CCS'18] to execute state machines. These constructions allow interaction between two parties across a channel network, i.e. the two endpoints of a path of channels. This is realized by utilizing intermediaries, which are the parties on the channel path which are in-between both endpoints, who have to pay collateral to ensure security of the constructions. While these approaches can be used with Hydra, they cannot be trivially extended to allow execution of CEMs between an arbitrary amount of parties across different Hydra heads. This work addresses this gap by introducing the Interhead construction that allows for the iterative creation of virtual Hydra heads. Of independent interest, our construction is the first that (1) supports channels with an arbitrary amount of parties and (2) allows for collateral to be paid by multiple intermediaries which allows to share this burden and thus improves practicality.

In the effort to transition cryptographic primitives and protocols to quantum-resistant alternatives, an interesting and useful challenge is found in the Signal protocol. The initial key agreement component of this protocol, called X3DH, has so far proved more subtle to replace - in part due to the unclear security model and properties the original protocol is designed for. This paper defines a formal security model for the original signal protocol, in the context of the standard eCK and CK+ type models, which we call the Signal-adapted-CK model. We then propose a secure replacement for the Signal X3DH key exchange protocol based on SIDH, and provide a proof of security in the Signal-adapted-CK model, showing our protocol satisfies all security properties of the original Signal X3DH. We call this new protocol SI-X3DH. Our protocol refutes the claim of Brendel, Fischlin, Günther, Janson, and Stebila [Selected Areas in Cryptography (2020)] that SIDH cannot be used to construct a secure X3DH replacement due to adaptive attacks. Unlike the generic constructions proposed in the literature, our protocol achieves deniability without expensive machinery such as post-quantum ring signatures. It also benefits from the efficiency of SIDH as a key-exchange protocol, compared to other post-quantum key exchange protocols such as CSIDH.

BitBadges is a privacy preserving distributed identity platform that plans on utilizing CouchDB, the decentralized-internet SDK by Lonero, Blake3 hashing, and a PoCP or Proof of Computation consensus algorithm. It is privacy-preserving and offers a unique proposition for traditional blockchains centered around consensus algorithms. This paper introduces the conceptual design for BitBadges in its second version and as its own blockchain platform and cryptocurrency. The aim is to introduce various researchers to distributed consensus through an identity-based platform, while still keeping its decentralized and privacy-preserving nature. The main distributed computing paradigm or architectural design is centered around Peer to Peer Client Server models and a Point to Point message model. Its distributed system is centered around a grid computing design based off of fault tolerance and censorship-resistance. It also implements lockstep and modular operations. BitBadges was first iterated as a NFT hashing/badge creation solution and has slowly transitioned to an alternative to ERC721 to its own blockchain. BitBadges will be interoperable with various sidechain integrations for badge issuing and identity measures. These are further intentional integrations to make BitBadges further decentralized. The aim is to create a new model for distributed identity centered around PoCP.

When defining a security notion, one typically specifies what dishonest parties cannot achieve. For example, communication is confidential if a third party cannot learn anything about the messages being transmitted, and it is authentic if a third party cannot impersonate the real (honest) sender. For certain applications, however, security crucially relies on giving dishonest parties certain capabilities. As an example, in Designated Verifier Signature (DVS) schemes, one captures that only the designated verifier can be convinced of the authenticity of a message by guaranteeing that any dishonest party can forge signatures which look indistinguishable (to a third party) from original ones created by the sender. However, composable frameworks cannot typically model such guarantees as they are only designed to bound what a dishonest party can do. In this paper we show how to model such guarantees---that dishonest parties must have some capability---in the Constructive Cryptography framework (Maurer and Renner, ICS 2011). More concretely, we give the first composable security definitions for Multi-Designated Verifier Signature (MDVS) schemes---a generalization of DVS schemes. The ideal world is defined as the intersection of two worlds. The first captures authenticity in the usual way. The second provides the guarantee that a dishonest party can forge signatures. By taking the intersection we have an ideal world with the desired properties. We also compare our composable definitions to existing security notions for MDVS schemes from the literature. We find that only recently, 23 years after the introduction of MDVS schemes, sufficiently strong security notions were introduced capturing the security of MDVS schemes (Damg{\r a}rd et al., TCC 2020). As we prove, however, these notions are still strictly stronger than necessary.

In this paper we study cryptographic finite abelian groups of unknown order and hardness assumptions in these groups. Abelian groups necessitate multiple group generators, which may be chosen at random. We formalize this setting and hardness assumptions therein. Furthermore, we generalize the algebraic group model and strong algebraic group model from cyclic groups to arbitrary finite abelian groups of unknown order. Building on these formalizations, we present techniques to deal with this new setting, and prove new reductions. These results are relevant for class groups of imaginary quadratic number fields and time-lock cryptography build upon them.

Cryptographic keys are increasingly stored in dedicated hardware or behind software interfaces. Doing so limits access, such as permitting only signing via ECDSA. This makes using them in existing ring and group signature schemes impossible as these schemes assume the ability to access the private key for other operations. We present a $\Sigma$-protocol that uses a committed public key to verify an ECDSA or Schnorr signature on a message, without revealing the public key. We then discuss how this protocol may be used to derive ring signatures in combination with Groth–Kohlweiss membership proofs and other applications. This scheme has been implemented and source code is freely available.

In this paper, we outline a novel form of attack we refer to as Opportunistic Algorithmic Double-Spending (OpAl ). OpAl attacks avoid equivocation, i.e., do not require conflicting transactions, and are carried out automatically in case of a fork. Algorithmic double-spending is facilitated through transaction semantics that dynamically depend on the context and ledger state at the time of execution. Hence, OpAl evades common double-spending detection mechanisms and can opportunistically leverage forks, even if the malicious sender themselves is not responsible for, or even actively aware of, any fork. Forkable ledger designs with expressive transaction semantics, especially stateful EVM-based smart contract platforms such as Ethereum, are particularly vulnerable. Hereby, the cost of modifying a regular transaction to opportunistically perform an OpAl attack is low enough to consider it a viable default strategy. While Bitcoin’s stateless UTXO model, or Cardano’s EUTXO model, appear more robust against OpAl , we nevertheless demonstrate scenarios where transactions are semantically malleable and thus vulnerable. To determine whether OpAl -like semantics can be observed in practice, we analyze the execution traces of 922562 transactions on the Ethereum blockchain. Hereby, we are able to identify transactions, which may be associated with frontrunning and MEV bots, that exhibit some of the design patterns also employed as part of the herein presented attack.

Side-channel attacks are a major threat to the security of cryptographic implementations, particularly for small devices that are under the physical control of the adversary. While several strategies for protecting against side-channel attacks exist, these often fail in practice due to unintended interactions between values deep within the CPU. To detect and protect from side-channel attacks, several automated tools have recently been proposed; one of their common limitations is that they only support first-order leakage. In this work, we present , the first automated tool for detecting and eliminating higher-order leakage from cryptographic implementations. Rosita++ proposes statistical and software-based tools to allow high-performance higher-order leakage detection. It then uses the code rewrite engine of Rosita (Shelton et al. NDSS 2021) to eliminate detected leakage. For the sake of practicality we evaluate Rosita++ against second and third order leakage, but our framework is not restricted to only these orders. We evaluate Rosita++ against second-order leakage with three-share implementations of two ciphers, PRESENT and Xoodoo, and with the second-order Boolean-to-arithmetic masking, a core building block of masked implementations of many cryptographic primitives, including SHA-2, ChaCha and Blake. We show effective second-order leakage elimination at a performance cost of 36% for Xoodoo, 189% for PRESENT, and 29% for the Boolean-to-arithmetic masking. For third-order analysis, we evaluate Rosita++ against the third-order leakage using a four-share synthetic example that corresponds to typical four-share processing. Rosita++ correctly identified this leakage and applied code fixes.

Fuzzy Message Detection (FMD) is a recent cryptographic primitive invented by Beck et al. (CCS'21) where an untrusted server performs coarse message filtering for its clients in a recipient-anonymous way. In FMD --- besides the true positive messages --- the clients download from the server their cover messages determined by their false-positive detection rates. What is more, within FMD, the server cannot distinguish between genuine and cover traffic. In this paper, we formally analyze the privacy guarantees of FMD from three different angles. First, we analyze three privacy provisions offered by FMD: recipient unlinkability, relationship anonymity, and temporal detection ambiguity. Second, we perform a differential privacy analysis and coin a relaxed definition to capture the privacy guarantees FMD yields. Finally, we simulate FMD on real-world communication data. Our theoretical and empirical results assist FMD users in adequately selecting their false-positive detection rates for various applications with given privacy requirements.

One of the well-known superiorities of GIFT-64 over PRESENT lies in the correction of the strong linear hull effect. However, apart from the investigation of the 9-round linear hull effect in the design document, we find no linear attack result on GIFT-64. Although we do not doubt the security of GIFT-64 regarding the linear cryptanalysis, the actual resistance of the cipher to the linear attack should be evaluated since it promotes a comprehensive perception of the soundness of GIFT-64. Motivated by this observation, we implement an automatic search and find a 12-round linear distinguisher whose dominating trail is an optimal linear characteristic. Following that, the first 19-round linear attack is launched by utilising the newly identified distinguisher. On the other side, we notice that the previous differential attack of GIFT-64 covering 20 rounds claims the entire codebook. To reduce the data complexity of the 20-round attack, we apply the automatic method to exhaustively check 13-round differential trails with probabilities no less than $2^{-64}$ and identify multiple 13-round differentials facilitating 20-round attacks without using the full codebook. One of the candidate differentials with the maximum probability and the minimum number of guessed subkey bits is then employed to realise the first 20-round differential attack without relying on the complete codebook. Given the newly obtained results, we conjecture that the resistances of GIFT-64 against differential and linear attacks do not have a significant gap. Also, we note that the attack results in this paper are far from threatening the security of GIFT-64.

Onion routing (OR) protocols are a crucial tool for providing anonymous internet communication. An OR protocol enables a user to anonymously send requests to a server. A fundamental problem of OR protocols is how to deal with replies: ideally, we would want the server to be able to send a reply back to the anonymous user without knowing or disclosing the user's identity. Existing OR protocols do allow for such replies, but do not provably protect the payload (i.e., message) of replies against manipulation. Kuhn et al. (IEEE S&P 2020) show that such manipulations can in fact be leveraged to break anonymity of the whole protocol. In this work, we close this gap and provide the first framework and protocols for OR with protected replies. We define security in the sense of an ideal functionality in the universal composability model, and provide corresponding (less complex) game-based security notions for the individual properties. We also provide two secure instantiations of our framework: one based on updatable encryption, and one based on succinct non-interactive arguments (SNARGs) to authenticate payloads both in requests and replies. In both cases, our central technical handle is an implicit authentication of the transmitted payload data, as opposed to an explicit, but insufficient authentication (with MACs) in previous solutions. Our results exhibit a new and surprising application of updatable encryption outside of long-term data storage.

Consider the following problem: You have a device that is supposed to compute a linear combination of its inputs, which are taken from some finite field. However, the device may be faulty and compute arbitrary functions of its inputs. Is it possible to encode the inputs in such a way that only linear functions can be evaluated over the encodings? I.e., learning an arbitrary function of the encodings will not reveal more information about the inputs than a linear combination. In this work, we introduce the notion of algebraic restriction codes (AR codes), which constrain adversaries who might compute any function to computing a linear function. Our main result is an information-theoretic construction AR codes that restrict any class of function with a bounded number of output bits to linear functions. Our construction relies on a seed which is not provided to the adversary. While interesting and natural on its own, we show an application of this notion in cryptography. In particular, we show that AR codes lead to the first construction of rate-1 oblivious transfer with statistical sender security from the Decisional Diffie-Hellman assumption, and the first-ever construction that makes black-box use of cryptography. Previously, such protocols were known only from the LWE assumption, using non-black-box cryptographic techniques. We expect our new notion of AR codes to find further applications, e.g., in the context of non-malleability, in the future.

Threshold cryptography enables cryptographic operations while keeping the secret keys distributed at all times. Agrawal et al. (CCS'18) propose a framework for Distributed Symmetric-key Encryption (DiSE). They introduce a new notion of Threshold Symmetric-key Encryption (TSE), in that encryption and decryption are performed by interacting with a threshold number of servers. However, the necessity for interaction on each invocation limits performance when encrypting large datasets, incurring heavy computation and communication on the servers. This paper proposes a new approach to resolve this problem by introducing a new notion called Amortized Threshold Symmetric-key Encryption (ATSE), which allows a "privileged" client (with access to sensitive data) to encrypt a large group of messages using a single interaction. Importantly, our notion requires a client to interact for decrypting each ciphertext, thus providing the same security (privacy and authenticity) guarantee as DiSE with respect to a "not-so-privileged" client. We construct an ATSE scheme based on a new primitive that we formalize as flexible threshold key-derivation (FTKD), which allows parties to interactively derive pseudorandom keys in different modes in a threshold manner. Our FTKD construction, which uses bilinear pairings, is based on a distributed variant of left/right constrained PRF by Boneh and Waters (Asiacrypt'13). Despite our use of bilinear maps, our scheme achieves significant speed-ups due to the amortized interaction. Our experiments show 40x lower latency and 30x more throughput in some settings.

The goal of secure multi-party computation (MPC) is to allow a set of parties to perform an arbitrary computation task, where the security guarantees depend on the set of parties that are corrupted. The more parties are corrupted, the less is guaranteed, and typically the guarantees are completely lost when the number of corrupted parties exceeds a certain corruption bound. Early and also many recent protocols are only statically secure in the sense that they provide no security guarantees if the adversary is allowed to choose adaptively which parties to corrupt. Security against an adversary with such a strong capability is often called adaptive security and a significant body of literature is devoted to achieving adaptive security, which is known as a difficult problem. In particular, a main technical obstacle in this context is the so-called ``commitment problem'', where the simulator is unable to consistently explain the internal state of a party with respect to its pre-corruption outputs. As a result, protocols typically resort to the use of cryptographic primitives like non-committing encryption, incurring a substantial efficiency loss. This paper provides a new, clean-slate treatment of adaptive security in MPC, exploiting the specification concept of constructive cryptography (CC). A new natural security notion, called CC-adaptive security, is proposed, which is technically weaker than standard adaptive security but nevertheless captures security against a fully adaptive adversary. Known protocol examples separating between adaptive and static security are also insecure in our notion. Moreover, our notion avoids the commitment problem and thereby the need to use non-committing or equivocal tools. We exemplify this by showing that the protocols by Cramer, Damgard and Nielsen (EUROCRYPT'01) for the honest majority setting, and (the variant without non-committing encryption) by Canetti, Lindell, Ostrovsky and Sahai (STOC'02) for the dishonest majority setting, achieve CC-adaptive security. The latter example is of special interest since all UC-adaptive protocols in the dishonest majority setting require some form of non-committing or equivocal encryption.

Secure multi-party computation (MPC) allows a set of $n$ parties to jointly compute an arbitrary computation over their private inputs. Two main variants have been considered in the literature according to the underlying communication model. Synchronous MPC protocols proceed in rounds, and rely on the fact that the communication network provides strong delivery guarantees within each round. Asynchronous MPC protocols achieve security guarantees even when the network delay is arbitrary. While the problem of MPC has largely been studied in both variants with respect to both feasibility and efficiency results, there is still a substantial gap when it comes to communication complexity of adaptively secure protocols. Concretely, while adaptively secure synchronous MPC protocols with linear communication are known for a long time, the best asynchronous protocol communicates $\mathcal{O}(n^4 \kappa)$ bits per multiplication. In this paper, we make progress towards closing this gap by providing two protocols. First, we present an adaptively secure asynchronous protocol with optimal resilience $t<n/3$ and $\mathcal{O}(n^2 \kappa)$ bits of communication per multiplication, improving over the state of the art protocols in this setting by a quadratic factor in the number of parties. The protocol has cryptographic security and follows the CDN approach [Eurocrypt'01], based on additive threshold homomorphic encryption. Second, we show an optimization of the above protocol that tolerates up to $t<(1-\epsilon)n/3$ corruptions and communicates $\mathcal{O}(n\cdot \poly(\kappa))$ bits per multiplication under stronger assumptions.

We propose a modification to the Lelantus private transaction protocol to provide recipient privacy, improved security, and additional usability features. Our decentralized anonymous payment (DAP) construction, Spark, enables non-interactive one-time addressing to hide recipient addresses in transactions. The modified address format permits flexibility in transaction visibility. Address owners can securely provide third parties with opt-in visibility into incoming transactions or all transactions associated to the address; this functionality allows for offloading chain scanning and balance computation without delegating spend authority. It is also possible to delegate expensive proving operations without compromising spend authority when generating transactions. Further, the design is compatible with straightforward linear multisignature operations to allow mutually non-trusting parties to cooperatively receive and generate transactions associated to a multisignature address. We prove that Spark satisfies formal DAP security properties of balance, non-malleability, and ledger indistinguishability.

Attribute-based encryption (ABE) cryptographically implements fine-grained access control on data. As such, data can be stored by an entity that is not necessarily trusted to enforce access control, or an entity that is not even trusted to have access to the plaintext data at all. Instead, access control can be externally enforced by a trusted entity. Additionally, some multi-authority variants of ABE---which do not have a central authority---can effectively and securely implement access control in multiple-domain settings. Furthermore, ABE is the only cryptographic approach to fine-grained access control that does not require an online trusted third party during access requests, and thus provides better availability properties. The actual realization of these theoretical advantages in practice depends on whether current state-of-the-art ABE schemes support the necessary core properties. Much progress has been made in the last two decades in pairing-based ABE schemes, owing to their versatility and efficiency. In fact, it is possible to support most core properties under strong security guarantees, while incurring acceptable storage and computational costs. It is therefore a good time to ask ourselves whether pairing-based ABE has reached its full practical potential. To answer this question, we provide a comprehensive systematized overview of various existing pairing-based ABE schemes and their core properties. We also investigate the relationship between these core properties and real-world access control requirements. We show that a few challenges remain, that must be overcome for ABE to reach its full potential as a mechanism to implement efficient and secure access control in practice.

We propose a new construction for format-preserving encryption. Our design provides the flexibility for use in format-preserving encryption (FPE) and for static table-driven tokenization. Our algorithm is a substitution-permutation network based on random Sboxes. Using pseudorandom generators and pseudorandom functions, we prove a strong adaptive security based on the super-pseudorandom permutation assumption of our core design. We obtain empirical parameters to reach this assumption. We suggest parameters for quantum security. Our design accommodates very small domains, with a radix $a$ from 4 to the Unicode alphabet size and a block length $\ell$ starting 2. The number of Sbox evaluations per encryption is asymptotically $\ell^{\frac32}$, which is also the number of bytes we need to generate using AES in CTR mode for each tweak setup. For instance, we tokenize 10 decimal digits using 29 (parallel) AES computations to be done only once, when the tweak changes.

Affine message authentication code (AMAC) (CRYPTO'14) is a group-based MAC with a specific algebraic structure. Downgradable AMAC (DAMAC) (CT-RSA'19) is an AMAC with a functionality that we can downgrade a message with an authentication tag while retaining validity of the tag. In this paper, we revisit DAMAC for two independent applications, namely downgradable identity-based signatures (DIBS) and trapdoor sanitizable signatures (TSS) (ACNS'08). DIBS are the digital signature analogue of downgradable identity-based encryption (CT-RSA'19), which allow us to downgrade an identity associated with a secret-key. In TSS, an entity given a trapdoor for a signed-message can partially modify the message while keeping validity of the signature. We show that DIBS can be generically constructed from DAMAC, and DIBS can be transformed into (wildcarded) hierarchical/wicked IBS. We also show that TSS can be generically constructed from DIBS. By instantiating them, we obtain the first wildcarded hierarchical/wicked IBS and the first invisible and/or unlinkable TSS. Moreover, we prove that DIBS are equivalent to not only TSS, but also their naive combination, named downgradable identity-based trapdoor sanitizable signatures.

It is known that the agreement property of the Byzantine consensus problem among $n$ processes can be violated in a non-synchronous system if the number of faulty processes exceeds $t_0 = n / 3 - 1$. In this paper, we investigate the accountable Byzantine consensus problem in non-synchronous systems: the problem of solving Byzantine consensus whenever possible (e.g., when the number of faulty processes does not exceed $t_0$) and allowing correct processes to obtain proof of culpability of (at least) $t_0 + 1$ faulty processes whenever correct processes disagree. We present four complementary contributions: 1) We introduce $ABC$: a simple yet efficient transformation of any Byzantine consensus protocol to an accountable one. $ABC$ introduces an overhead of (1) only two all-to-all communication rounds and $O(n^2)$ additional bits in executions with up to $t_0$ faults (i.e., in the common case). 2) We define the accountability complexity, a complexity metric representing the number of accountability-specific messages that correct processes must send. Furthermore, we prove a tight lower bound. In particular, we show that any accountable Byzantine consensus algorithm incurs cubic accountability complexity. Moreover, we illustrate that the bound is tight by applying the $ABC$ transformation to any Byzantine consensus protocol. 3) We demonstrate that, when applied to an optimal Byzantine consensus protocol, $ABC$ constructs an accountable Byzantine consensus protocol that is (1) optimal in solving consensus whenever consensus is solvable with respect to the communication complexity, and (2) optimal in obtaining accountability whenever disagreement occurs with respect to the accountability complexity. 4) We generalize $ABC$ to other distributed computing problems besides the classic consensus problem. We characterize a class of agreement tasks, including reliable and consistent broadcast, that $ABC$ renders accountable.

In this paper, we propose a new block cipher-based authenticated encryption scheme, dubbed the Synthetic Counter with Masking~(SCM) mode. SCM follows the NSIV paradigm proposed by Peyrin and Seurin~(CRYPTO 2016), where a keyed hash function accepts a nonce N with associated data and a message, yielding an authentication tag T, and then the message is encrypted by a counter-like mode using both T and N. Here we move one step further by encrypting nonces; in the encryption part, the inputs to the block cipher are determined by T, counters, and an encrypted nonce, and all its outputs are also masked by an (additional) encrypted nonce, yielding keystream blocks. As a result, we obtain, for the first time, a block cipher-based authenticated encryption scheme of rate 1/2 that provides n-bit security with respect to the query complexity (ignoring the influence of message length) in the nonce-respecting setting, and at the same time guarantees graceful security degradation in the faulty nonce model, when the underlying n-bit block cipher is modeled as a secure pseudorandom permutation. Seen as a slight variant of GCM-SIV, SCM is also parallelizable and inverse-free, and its performance is still comparable to GCM-SIV.

We present a variant of the Kate, Zaverucha and Goldberg polynomial commitment scheme [KZG] where $d$ polynomials can be opened at a point that is a $d$'th power, such that the amount of verifier group operations does not depend on $d$. Our method works by reducing opening multiple polynomials at a single point $x$, to opening a single polynomial at many points via an ``FFT-like identity''. As an application we present a version of the PlonK zk-SNARK[GWC] with significantly improved verifier performance, at the cost roughly tripling the prover time. Specifically, in addition to the two pairings, the verifier only performs five scalar multiplications, rather than 16 or 18 as in the versions presented in [GWC].

LightMAC, by Luykx et al., is a block cipher based message authentication code (MAC). The simplicity of design and low overhead allows it to have very compact implementations. As a result, it has been recently chosen as an ISO/IEC standard MAC for lightweight applications. LightMAC has been shown to achieve query length independent security bound of $O(q^2/2^n)$ when instantiated with two independently keyed $n$-bit block ciphers, where $q$ denotes the number of MAC queries and the query-length is upper bounded by $(n-s)2^s$ bits for a fixed counter size $s$. In this paper, we aim to minimize the number of block cipher keys in LightMAC. First, we show that the original LightMAC instantiated with a single block cipher key, referred as 1k-LightMAC, achieves security bound of $O(q^2/2^n)$ while the query-length is at least $(n-s)$ bits and at most $(n-s)\min\{2^{n/4},2^s\}$ bits. Second, we show that a minor variant of 1k-LightMAC, dubbed as LightMAC-ds, achieves security bound of $O(q^2/2^n)$ while query-length is upper bounded by $(n-s)2^{s-1}$ bits. Of independent interest, our security proof of 1k-LightMAC employs a novel sampling approach, called the reset-sampling, as a subroutine within the H-coefficient proof setup.

This work leverages on the framework of Karakostas et al. (SCN'20) by extending it to the realm of reputation and trust. At the best of our knowledge, it is the first to introduce reputation and trust to proof of stake systems. Namely, we show that their delegation framework can be repurposed to construct a trust layer over a proof of stake consensus protocol in addition to its original stake delegation application. Furthermore, we show that such extension yields a concrete reputation system satisfying the positive results of (1) Asharov et al. (Asiacrypt'13), therefore allowing the secure execution of multiparty protocols such as GMW (STOC' 87) and Damgard and Ishai (Crypto'05), and (2) Kleinrock et al. (Indocrypt'20), therefore allowing the construction of Reputation-fair Lottery and therefore Proof of Reputation. More concretely, our devised layer is used to construct a concrete reputation system based on arbitrary stake distribution. In this layer groups of users can freely ``assign their respective trust'' to members of a set of trustees, i.e., participants that offered themselves as receivers of such assignment. Furthermore, our work offers the advantage of providing a clear stake based criteria, verifiable in the ledger, and, therefore, naturally resistant to sybil attack, that the set of trustees indeed yields an honest majority. This setting provides a better situation than a simple assumption of honest majority, since it involves stake in a decentralized ledger, and the public verifiability of the reputation score via verification of the stake distribution.

Lightweight cryptography has recently gained importance as the number of Internet of things (IoT) devices connected to Internet grows. Its main goal is to provide cryptographic algorithms that can be run efficiently in resource-limited environments such as IoT. To meet the challenge, the National Institute of Standards and Technology (NIST) announced the Lightweight Cryptography (LWC) project. One of the finalists of the project is the TinyJAMBU cipher. This work evaluates the security of the cipher. The tool used for the evaluation is the cube attack. We present five distinguishing attacks DA1 - DA5 and two key recovery attacks KRA1 - KRA2. The first two distinguishing attacks (DA1 and DA2) are launched against the initialisation phase of the cipher. The best result achieved for the attacks is a distinguisher for a 18-bit cube, where the cipher variant consists of the full initialisation phase together with 438 rounds of the encryption phase. The key recovery attacks (KRA1 and KRA2) are also launched against the initialisation phase of the cipher. The best key recovery attack can be applied for a cipher variant that consists of the full initialisation phase together with 428 rounds of the encryption phase. The attacks DA3 - DA5 present a collection of distinguishers up to 437 encryption rounds, whose 32-bit cubes are chosen from the plaintext, nonce, or associated data bits. The results are confirmed experimentally. A conclusion from the work is that TinyJAMBU has a better security margin against cube attacks than claimed by the designers.

In this work we consider information-theoretically secure MPC against a mixed adversary who can corrupt $t_p$ parties passively, $t_a$ parties actively, and can make $t_f$ parties fail-stop. With perfect security, it is known that every function can be computed securely if and only if $3t_a + 2t_p + t_f < n$, and for statistical security the bound is $2t_a + 2t_p + t_f < n$. These results say that for each given set of parameters $(t_a, t_p, t_f)$ respecting the inequality, there exists a protocol secure against this particular choice of corruption thresholds. In this work we consider a dynamic adversary. Here, the goal is a single protocol that is secure, no matter which set of corruption thresholds $(t_a, t_p, t_f)$ from a certain class is chosen by the adversary. A dynamic adversary can choose a corruption strategy after seeing the protocol and so is much stronger than a standard adversary. Dynamically secure protocols have been considered before for computational security. Also the information theoretic case has been studied, but only considering non-threshold general adversaries, leading to inefficient protocols. We consider threshold dynamic adversaries and information theoretic security. For statistical security we show that efficient dynamic secure function evaluation (SFE) is possible if and only if $2t_a + 2t_p + t_f < n$, but any dynamically secure protocol must use $\Omega(n)$ rounds, even if only fairness is required. Further, general reactive MPC is possible if we assume in addition that $2t_a+2t_f \leq n$, but fair reactive MPC only requires $2t_a + 2t_p + t_f < n$. For perfect security we show that both dynamic SFE and verifiable secret sharing (VSS) are impossible if we only assume $3t_a + 2t_p + t_f < n$ and remain impossible even if we also assume $t_f=0$. On the other hand, perfect dynamic SFE with guaranteed output delivery (G.O.D.) is possible when either $t_p = 0$ or $t_a = 0$ i.e. if instead we assume $3t_a+t_f < n$ or $2t_p +t_f < n$. Further, perfect dynamic VSS with G.O.D. is possible under the additional conditions $3t_a + 3/2t_f \leq n$ or $2t_p + 2t_f \leq n$. These conditions are also sufficient for dynamic perfect reactive MPC.

Pairing computations on elliptic curves with odd prime degrees are rarely studied as low efficiency. Recently, Clarisse, Duquesne and Sanders proposed two new curves with odd prime embedding degrees: \textit{BW13-P310} and \textit{BW19-P286}, which are suitable for some special cryptographic schemes. In this paper, we propose efficient methods to compute the optimal ate pairing on this types of curves, instantiated by the \textit{BW13-P310} curve. We first extend the technique of lazy reduction into the finite field arithmetic. Then, we present a new method to execute Miller's algorithm. Compared with the standard Miller iteration formulas, the new ones provide a more efficient software implementation of pairing computations. At last, we also give a fast formula to perform the final exponentiation. Our implementation results indicate that it can be computed efficiently, while it is slower than that over the BLS-446 curve at the same security level.

Integers can be decomposed in multiple ways. The choice of a recoding technique is generally dictated by performance considerations. The usual metric for optimizing the decomposition is the Hamming weight. In this work, we consider a different metric and propose new modified forms (i.e., integer representations using signed digits) that satisfy minimality requirements under the new metric. Specifically, we introduce what we call balanced non-adjacent forms and prove that they feature a minimal Euclidean weight. We also present efficient algorithms to produce these new minimal forms. We analyze their asymptotic and exact distributions. We extend the definition to modular integers and show similar optimality results. The balanced non-adjacent forms find natural applications in fully homomorphic encryption as they optimally reduce the noise variance in LWE-type ciphertexts.

Let N = pq be an RSA modulus with balanced prime factors. In 2018, Murru and Saettone presented a variant of the RSA cryptosystem based on a cubic Pell equation in which the public key (N, e) and the private key (N, d) satisfy ed \equiv 1 mod (p^2+p+1)(q^2+q+1)). They claimed that the classical small private attacks on RSA such as Wiener's continued fraction attack do not apply to their scheme. In this paper, we show that, on the contrary, Wiener's method as well as the small inverse problem technique of Boneh and Durfee can be applied to attack their scheme. More precisely, we show that the proposed variant of RSA can be broken if d < N^{0:5694}. This shows that their scheme is in reality more vulnerable than RSA, where the bound of vulnerability is d < N^{0.292}.

We describe a protocol for two-party private set intersection (PSI) based on Diffie-Hellman key agreement. The protocol is proven secure against malicious parties, in the ideal permutation + random oracle model. For small sets (500 items or fewer), our protocol requires the least time and communication of any known PSI protocol, even ones that are only semi-honest secure and ones that are not based on Diffie-Hellman. It is one of the few significant improvements to the 20-year old classical Diffie-Hellman PSI protocol of Huberman, Franklin, and Hogg (ACM Elec. Commerce 1999). Our protocol is actually a generic transformation that constructs PSI from a class of key agreement protocols. This transformation is inspired by a technique of Cho, Dachman-Soled, and Jarecki (CT-RSA 2016), which we streamline and optimize in several important ways to achieve our superior efficiency.

Key trees are often the best solution in terms of transmission cost and storage requirements for managing keys in a setting where a group needs to share a secret key, while being able to efficiently rotate the key material of users (in order to recover from a potential compromise, or to add or remove users). Applications include multicast encryption protocols like LKH (Logical Key Hierarchies) or group messaging like the current IETF proposal TreeKEM. A key tree is a (typically balanced) binary tree, where each node is identified with a key: leaf nodes hold users' secret keys while the root is the shared group key. For a group of size $N$, each user just holds $\log(N)$ keys (the keys on the path from its leaf to the root) and its entire key material can be rotated by broadcasting $2\log(N)$ ciphertexts (encrypting each fresh key on the path under the keys of its parents). In this work we consider the natural setting where we have many groups with partially overlapping sets of users, and ask if we can find solutions where the cost of rotating a key is better than in the trivial one where we have a separate key tree for each group. We show that in an asymptotic setting (where the number $m$ of groups is fixed while the number $N$ of users grows) there exist more general key graphs whose cost converges to the cost of a single group, thus saving a factor linear in the number of groups over the trivial solution. As our asymptotic ``solution" converges very slowly and performs poorly on concrete examples, we propose an algorithm that uses a natural heuristic to compute a key graph for any given group structure. Our algorithm combines two greedy algorithms, and is thus very efficient: it first converts the group structure into a ``lattice graph", which is then turned into a key graph by repeatedly applying the algorithm for constructing a Huffman code. To better understand how far our proposal is from an optimal solution, we prove lower bounds on the update cost of continuous group-key agreement and multicast encryption in a symbolic model admitting (asymmetric) encryption, pseudorandom generators, and secret sharing as building blocks.

Nearest neighbor search is a fundamental building-block for a wide range of applications. A privacy-preserving protocol for nearest neighbor search involves a set of clients who send queries to a remote database. Each client retrieves the nearest neighbor(s) to its query in the database without revealing any information about the query. To ensure database privacy, clients must learn as little as possible beyond the query answer, even if behaving maliciously by deviating from protocol. Existing protocols for private nearest neighbor search require heavy cryptographic tools, resulting in high computational and bandwidth overheads. In this paper, we present the first lightweight protocol for private nearest neighbor search. Our protocol is instantiated using two non-colluding servers, each holding a replica of the database. Our design supports an arbitrary number of clients simultaneously querying the database through the two servers. Each query consists of a single round of communication between the client and the two servers. No communication is required between the servers to answer queries. If at least one of the servers is non-colluding, we ensure that (1) no information is revealed on the client’s query, (2) the total communication between the client and the servers is sublinear in the database size, and (3) each query answer only leaks a small and bounded amount of information about the database to the client, even if the client is malicious. We implement our protocol and report its performance on real-world data. Our construction requires between 10 and 20 seconds of query latency over large databases of 10M feature vectors. Client overhead remained under 10 ms of processing time per query and less than 10 MB of communication.

Evolving secret sharing is a special kind of secret sharing where the number of shareholders is not known beforehand, i.e., at time t = 0. In classical secret sharing such a restriction was assumed inherently i.e., the the number of shareholders was given to the dealer’s algorithm as an input. Evolving secret sharing relaxes this condition. Pramanik and Adhikari left an open problem regarding malicious shareholders in the evolving setup, which we answer in this paper. We introduce a new cheating model, called the almost semi-honest model, where a shareholder who joins later can check the authenticity of share of previous ones. We use collision resistant hash function to construct such a secret sharing scheme with malicious node identification. Moreover, our scheme preserves the share size of Komargodski et al. (TCC 2016).

Secure computing methods such as fully homomorphic encryption and hardware solutions such as Intel Software Guard Extension (SGX) have been applied to provide security for user input in privacy-oriented computation outsourcing. Fully homomorphic encryption is amenable to parallelization and hardware acceleration to improve its scalability and latency, but is limited in the complexity of functions it can efficiently evaluate. SGX is capable of arbitrarily complex calculations, but due to expensive memory paging and context switches, computations in SGX are bound by practical limits. These limitations make either of fully homomorphic encryption or SGX alone unsuitable for large-scale multi-user computations with complex intermediate calculations. In this paper, we present GPS, a novel framework integrating the Graphene, PALISADE, and SGX technologies. GPS combines the scalability of homomorphic encryption with the arbitrary computational abilities of SGX, forming a more functional and efficient system for outsourced secure computations with large numbers of users. We implement GPS using linear regression training as an instantiation, and our experimental results indicate a base speedup of 1.03x to 8.69x (depending on computation parameters) over an SGX-only linear regression training without multithreading or hardware acceleration. Experiments and projections show improvements over the SGX-only training of 3.28x to 10.43x using multithreading and 4.99x to 12.67 with GPU acceleration.

A multi-forkcipher (MFC) is a generalization of the forkcipher (FC) primitive introduced by Andreeva et al. at ASIACRYPT'19. An MFC is a tweakable cipher that computes $s$ output blocks for a single input block, with $s$ arbitrary but fixed. We define the MFC security in the ind-prtmfp notion as indistinguishability from $s$ tweaked permutations. Generalizing tweakable block ciphers (TBCs, $s = 1$), as well as forkciphers ($s=2$), MFC lends itself well to building simple-to-analyze modes of operation that support any number of cipher output blocks. Our main contribution is the generic CTR encryption mode GCTR that makes parallel calls to an MFC to encrypt a message $M$. We analyze the set of all 36 ``simple and natural'' GCTR variants under the nivE security notion by Peyrin and Seurin from CRYPTO'16. Our proof method makes use of an intermediate abstraction called tweakable CTR (TCTR) that captures the core security properties of GCTR common to all variants, making their analyses easier. Our results show that many of the schemes achieve from well beyond birthday bound (BBB) to full $n$-bit security under nonce respecting adversaries and some even BBB and close to full $n$-bit security in the face of realistic nonce misuse conditions. We finally present an efficiency comparison of GCTR using $\mathsf{ForkSkinny}$ (an MFC with $s=2$) with the traditional CTR and the more recent CTRT modes, both are instantiated with the $\mathsf{SKINNY}$ TBC. Our estimations show that any GCTR variant with $\mathsf{ForkSkinny}$ can achieve an efficiency advantage of over $20\%$ for moderately long messages, illustrating that the use of an efficient MFC with $s\geq 2$ brings a clear speed-up.

Secure Multi-party Computation (MPC) allows to securely compute on private data. To make MPC practical, logic synthesis can be used to automatically translate a description of the function to be computed securely into optimized and error-free boolean circuits. TinyGMW (Demmler et al., CCS'15) used industry-grade hardware synthesis tools (DC, Yosys) to generate depth-optimized circuits for MPC. To evaluate their optimized circuits, they used the ABY framework (Demmler et al., NDSS'15) for secure two-party computation. The recent ABY2.0 framework (Patra et al., USENIX Security'21) presented round-efficient constructions using multi-input AND gates and improved over ABY by at least 6x in online communication for 4-input AND gate evaluation. In this work, we propose SynCirc, an efficient hardware synthesis framework designed for MPC applications. Our framework is based on Verilog and the open-source tool Yosys-ABC. It provides custom libraries and new constraints that accommodate multi-input AND gates. With this, we improve over TinyGMW by up to 3x in multiplicative depth with a corresponding improvement in online round complexity. Moreover, we provide efficient realizations of several new building blocks including comparison, multiplexers, and equality check. For these building blocks, we achieve improvements in multiplicative depth/online rounds between 22.3% and 66.7%. With these improvements, our framework makes multi-round MPC better-suited for high-latency networks such as the Internet. With respect to the look-up table based approach of Dessouky et al (NDSS’17), our framework improves the online communication by 1.3x - 18x.

In this short note, we introduce Bandersnatch, a new elliptic curve built over the BLS12-381 scalar field. The curve is equipped with an efficient endomorphism, allowing a fast scalar multiplication algorithm. Our benchmark shows that the multiplication is 42% faster, compared to another curve, called Jubjub, having similar properties. Nonetheless, Bandersnatch does not provide any performance improvement for either rank 1 constraint systems (R1CS) or multi scalar multiplications, compared to the Jubjub curve.

This paper is concerned with one of the fundamental building blocks used in modern public-key cryptography: modular multiplication. Speed-ups applied to the modular multiplication algorithm or implementation directly translate in a faster modular exponentiation for RSA or a faster realization of the group law when using elliptic curve cryptography.

We put forth new protocols for oblivious transfer extension and vector OLE, called \emph{Silver}, for SILent Vole and oblivious transfER. Silver offers extremely high performances: generating 10 million random OTs on one core of a standard laptop requires only 300ms of computation and 122KB of communication. This represents 37% less computation and ~1300x less communication than the standard IKNP protocol, as well as ~4x less computation and ~4x less communication than the recent protocol of Yang et al. (CCS 2020). Silver is \emph{silent}: after a one-time cheap interaction, two parties can store small seeds, from which they can later \emph{locally} generate a large number of OTs \emph{while remaining offline}. Neither IKNP nor Yang et al. enjoys this feature; compared to the best known silent OT extension protocol of Boyle et al. (CCS 2019), upon which we build up, Silver has 19x less computation, and the same communication. Due to its attractive efficiency features, Silver yields major efficiency improvements in numerous MPC protocols. Our approach is a radical departure from the standard paradigm for building MPC protocols, in that we do \emph{not} attempt to base our constructions on a well-studied assumption. Rather, we follow an approach closer in spirit to the standard paradigm in the design of symmetric primitives: we identify a set of fundamental structural properties that allow us to withstand all known attacks, and put forth a candidate design, guided by our analysis. We also rely on extensive experimentations to analyze our candidate and experimentally validate their properties. In essence, our approach boils down to constructing new families of linear codes with (plausibly) high minimum distance and extremely low encoding time. While further analysis is of course warranted to confidently assess the security of Silver, we hope and believe that initiating this approach to the design of MPC primitives will pave the way to new secure primitives with extremely attractive efficiency features.

MPC-in-the-Head (MitH) is a general framework that enables constructing efficient zero- knowledge (ZK) protocols for NP relations from secure multiparty computation (MPC) protocols. In this paper we present the first machine-checked implementations of this transformation. We begin with an EasyCrypt formalization that preserves modular structure of the original MitH construction and can be instantiated with arbitrary MPC protocols, secret sharing and commitment schemes satisfying standard notions of security. We then formalize various suitable components, which we use to obtain full-fledged ZK protocols for general relations. We compare two approaches for obtaining verified executable implementations. The first approach realizes a fully automated extraction from EasyCrypt to OCaml. The second one reduces the trusted computing base (TCB) and provides better performance for the extracted executable by combining code extraction with manual formal verification of low-level components implemented in the Jasmin language. We conclude the paper with a discussion of the trade-off between formal verification effort and performance, and also discuss how our approach opens the way for fully verified implementations of state-of the-art optimized protocols based on MitH.

Recent years have seen a strong uptick in both the prevalence and real-world consequences of false information spread through online platforms. At the same time, encrypted messaging systems such as WhatsApp, Signal, and Telegram, are rapidly gaining popularity as users seek increased privacy in their digital lives. The challenge we address is how to combat the viral spread of misinformation without compromising privacy. Our FACTS system tracks user complaints on messages obliviously, only revealing the message's contents and originator once sufficiently many complaints have been lodged. Our system is private, meaning it does not reveal anything about the senders or contents of messages which have received few or no complaints; secure, meaning there is no way for a malicious user to evade the system or gain an outsized impact over the complaint system; and scalable, as we demonstrate excellent practical efficiency for up to millions of complaints per day. Our main technical contribution is a new collaborative counting Bloom filter, a simple construction with difficult probabilistic analysis, which may have independent interest as a privacy-preserving randomized count sketch data structure. Compared to prior work on message flagging and tracing in end-to-end encrypted messaging, our novel contribution is the addition of a high threshold of multiple complaints that are needed before a message is audited or flagged. We present and carefully analyze the probabilistic performance of our data structure, provide a precise security definition and proof, and then measure the accuracy and scalability of our scheme via experimentation.

We introduce the Clockwork Finance Framework (CFF), a general purpose, formal verification framework for mechanized reasoning about the economic security properties of composed decentralized-finance (DeFi) smart contracts. CFF features three key properties. It is contract complete, meaning that it can model any smart contract platform and all its contracts—Turing complete or otherwise. It does so with asymptotically constant model overhead. It is also attack-exhaustive by construction, meaning that it can automatically and mechanically extract all possible economic attacks on users’ cryptocurrency across modeled contracts. Thanks to these properties, CFF can support multiple goals: economic security analysis of contracts by developers, analysis of DeFi trading risks by users, fees UX, and optimization of arbitrage opportunities by bots or miners. Because CFF offers composability, it can support these goals with reasoning over any desired set of potentially interacting smart contract models. We instantiate CFF as an executable model for Ethereum contracts that incorporates a state-of-the-art deductive verifier. Building on previous work, we introduce extractable value (EV), a new formal notion of economic security in composed DeFi contracts that is both a basis for CFF and of general interest. We construct modular, human-readable, composable CFF models of four popular, deployed DeFi protocols in Ethereum: Uniswap, Uniswap V2, Sushiswap, and MakerDAO, representing a combined 24 billion USD in value as of March 2022. We use these models along with some other common models such as flash loans, airdrops and voting to show experimentally that CFF is practical and can drive useful, data-based EV-based insights from real world transaction activity. Without any explicitly programmed attack strategies, CFF uncovers on average an expected $56 million of EV per month in the recent past.

For Key Encapsulation Mechanism (KEM) deployed in a multi-user setting, an adversary may corrupt some users to learn their secret keys, and obtain some encapsulated keys due to careless key managements of users. To resist such attacks, we formalize Enhanced security against Chosen Plaintext/Ciphertext Attack (ECPA/ECCA), which ask the pseudorandomness of unrevealed encapsulated keys under uncorrupted users. This enhanced security for KEM serves well for the security of a class of Authenticated Key Exchange protocols built from KEM. In this paper, we study the achievability of tight ECPA and ECCA security for KEM in the multi-user setting, and present an impossibility result and an optimal security loss factor that can be obtained. The existing meta-reduction technique due to Bader et al. (EUROCRYPT 2016) rules out some KEMs, but many well-known KEMs, e.g., Cramer-Shoup KEM (SIAM J. Comput. 2003), Kurosawa-Desmedt KEM (CRYPTO 2004), run out. To solve this problem, we develop a new technique tool named rank of KEM and a new secret key partitioning strategy for meta-reduction. With this new tool and new strategy, we prove that KEM schemes with polynomially-bounded ranks have no tight ECPA and ECCA security from non-interactive complexity assumptions, and the security loss is at least linear in the number n of users. This impossibility result covers lots of well-known KEMs, including the Cramer-Shoup KEM, Kurosawa-Desmedt KEM and many others. Moreover, we show that the linear security loss is optimal by presenting concrete KEMs with security loss &#920;(n). This is justified by a non-trivial security reduction with linear loss factor from ECPA/ECCA security to the traditional multi-challenge CPA/CCA security.

Fair exchange protocols let two mutually distrusted parties exchange digital data in a way that neither can cheat. At CCS 2017, Campanelli et al. proposed two blockchain-based protocols for the fair exchange of digital coins and a certain service, i.e., “proofs of retrievability” (PoR), that take place between a buyer and seller. In this work, we identify two serious issues of these schemes; namely, (1) a malicious client can waste the seller’s resources, and (2) real-time leakage of information to non-participants in the exchange. To rectify the issues, we propose “recurring contingent PoR payment” (RC-PoR-P). It lets the fair exchange reoccur while ensuring that the seller’s resources are not wasted, and the parties’ privacy is preserved. We implemented the RC- PoR-P. Our cost analysis indicates that the RC-PoR-P is efficient. The RC-PoR-P is the first of its kind that offers all the above features.

The Oil and Vinegar signature scheme, proposed in 1997 by Patarin, is one of the oldest and best understood multivariate quadratic signature schemes. It has excellent performance and signature sizes but suffers from large key sizes on the order of 50 KB, which makes it less practical as a general-purpose signature scheme. To solve this problem, this paper proposes MAYO, a variant of the UOV signature scheme whose public keys are two orders of magnitude smaller. MAYO works by using a UOV map with an unusually small oil space, which makes it possible to represent the public key very compactly. The usual UOV signing algorithm fails if the oil space is too small, but MAYO works around this problem by ``whipping up'' the base oil and vinegar map into a larger map, that does have a sufficiently large oil space. With parameters targeting NISTPQC security level I, MAYO has a public key size of only 614 Bytes and a signature size of 392 Bytes. This makes MAYO more compact than state-of-the-art lattice-based signature schemes such as Falcon and Dilithium. Moreover, we can choose MAYO parameters such that, unlike traditional UOV signatures, signatures provably only leak a negligible amount of information about the private key.

Reliable voter identification is one of the key requirements to guarantee eligibility and uniformity of elections. In a remote setting, this task becomes more complicated compared to voter identification at a physical polling station. In case strong cryptographic mechanisms are not available, biometrics is one of the available alternatives to consider. In this paper, we take a closer look at facial recognition as a possible remote voter identification measure. We cover technical aspects of facial recognition relevant to voting, discuss the main architectural decisions, and analyse some of the remaining open problems, including dispute resolution and privacy issues.

Pairings have been widely used since their introduction to cryptography. They can be applied to identity-based encryption, tripartite Diffie-Hellman key agreement, blockchain and other cryptographic schemes. The Acceleration of pairing computations is crucial for these cryptographic schemes or protocols. In this paper, we will focus on the Elliptic Net algorithm which can compute pairings in polynomial time, but it requires more storage than Miller’s algorithm. We use several methods to speed up the Elliptic Net algorithm. Firstly, we eliminate the inverse operation in the improved Elliptic Net algorithm. In some ircumstance, this finding can achieve further improvements. Secondly, we apply lazy reduction technique to the Elliptic Net algorithm, which helps us achieve a faster implementation. Finally, we propose a new derivation of the formulas for the computation of the Optimal Ate pairing on the twisted curve. Results show that the Elliptic Net algorithm can be significantly accelerated especially on the twisted curve. The algorithm can be 80% faster than the previous ones on the twisted 381-bit BLS12 curve and 71:5% faster on the twisted 676-bit KSS18 curve respectively.

Protocols for Byzantine agreement (BA) and secure multi-party computation (MPC) can be classified according to the underlying communication model. The two most commonly considered models are the synchronous one and the asynchronous one. Synchronous protocols typically lose their security guarantees as soon as the network violates the synchrony assumptions. Asynchronous protocols remain secure regardless of the network conditions, but achieve weaker security guarantees even when the network is synchronous. Recent works by Blum, Katz and Loss [TCC'19], and Blum, Liu-Zhang and Loss [CRYPTO'20] introduced BA and MPC protocols achieving security guarantees in both settings: security up to $t_s$ corruptions in a synchronous network, and up to $t_a$ corruptions in an asynchronous network, under the provably optimal threshold trade-offs $t_a \le t_s$ and $t_a + 2t_s < n$. However, current solutions incur a high synchronous round complexity when compared to state-of-the-art purely synchronous protocols. When the network is synchronous, the round complexity of BA protocols is linear in the number of parties, and the round complexity of MPC protocols also depends linearly on the depth of the circuit to evaluate. In this work, we provide round-efficient constructions for both primitives with optimal resilience: fixed-round and expected constant-round BA protocols, and an MPC protocol whose round complexity is independent of the circuit depth.

We describe some cryptographically relevant discrete logarithm problems (DLPs) and present some of the key ideas and constructions behind the most efficient algorithms known that solve them. Since the topic encompasses such a large volume of literature, for the finite field DLP we limit ourselves to a selection of results reflecting recent advances in fixed characteristic finite fields.

Computing the count of distinct elements in large data sets is a common task but naive approaches are memory-expensive. The HyperLogLog (HLL) algorithm (Flajolet et al., 2007) estimates a data set’s cardinality while using significantly less memory than a naive approach, at the cost of some accuracy. This trade-off makes the HLL algorithm very attractive for a wide range of applications such as database management and network monitoring, where an exact count may not be needed. The HLL algorithm and variants of it are implemented in systems such as Redis and Google Big Query. Recently, the HLL algorithm has started to be proposed for use in scenarios where the inputs may be adversarially generated, for example counting social network users or detection of network scanning attacks. This prompts an examination of the performance of the HLL algorithm in the face of adversarial inputs. We show that in such a setting, the HLL algorithm’s estimate of cardinality can be exponentially bad: when an adversary has access to the internals of the HLL algorithm and has some flexibility in choosing what inputs will be recorded, it can manipulate the cardinality estimate to be exponentially smaller than the true cardinality. We study both the original HLL algorithm and a more modern version of it (Ertl, 2017) that is used in Redis. We present experimental results confirming our theoretical analysis. Finally, we consider attack prevention: we show how to modify HLL in a simple way that provably prevents cardinality estimate manipulation attacks.

This paper explores the good-case latency of synchronous Byzantine Fault Tolerant (BFT) consensus protocols in the rotating leader setting. We first present a lower bound that relates the latency of a broadcast when the sender is honest and the latency of switching to the next sender. We then present a matching upper bound with a latency of $2\Delta$ ($\Delta$ is the pessimistic synchronous delay) with an optimistically responsive change to the next sender. The results imply that both our lower and upper bounds are tight. We implement and evaluate our protocol and show that our protocol obtains similar latency compared to state-of-the-art stable-leader protocol Sync~HotStuff while allowing optimistically responsive leader rotation.

Due to the advent of quantum computers, the security of existing public-key cryptography is threatened since quantum computers are expected to be able to solve the underlying mathematical problems efficiently. Hence, quantum resistant alternatives are required. Consequently, about 70 post-quantum scheme candidates were submitted to the National Institute of Standards and Technology (NIST) standardization effort. One candidate is the qTESLA signature scheme. We present an efficient shared-memory parallelization of qTESLA’s core routines, analyze the speedup in-depth and show that it can compete with the two most commonly used signature schemes RSA and ECDSA which are quantum-vulnerable. The speed is further increased by semi-automatic tuning of qTESLA’s configuration parameters based on results of multi-parameter performance models. We show how to considerably increase qTESLA’s usability through the Java Native Interface (JNI) without performance penalty. The analysis on x86 and ARM architecture employing three operating systems demonstrates the achieved portability. The enhanced performance, its straight forward usability and the high portability of our implementation make it a quantum-safe replacement for the state-of-the-art schemes.

Since quantum computers will be able to break all public-key encryption schemes employed today efficiently, quantum-safe cryptographic alternatives are required. One group of candidates are lattice-based schemes since they are efficient and versatile. To make them practical, their security level must be assessed on classical HPC systems in order to determine efficient but secure parameterization. In this paper, we propose a novel parallelization strategy for the open source framework p3Enum which is designed to solve the important lattice problem of finding the shortest non-zero vector in a lattice (SVP). We also present the p3Enum extreme pruning function generator (p3Enum-epfg) which generates optimized extreme pruning functions for p3Enum’s pruned lattice enumeration by employing a parallelized simulated annealing approach. We demonstrate the quality of the pruning functions delivered. Combining the new parallelization with optimized pruning functions speeds up p3Enum by a factor up to 3 compared to the previous version. Additionally, we compare the required runtime to solve the SVPs with state-of-the art tools and, for the first time, also visualize the statistical effects in the runtime of the algorithms under consideration. This allows a considerably better understanding of the behavior of the implementations than previous average-value considerations and demonstrates the relative stability of p3Enum’s parallel runtimes which improve reproducibility and predictability. All these advancements make it the fastest SVP solver for lattice dimensions 66 to 92 and a suitable building block as SVP-oracle in lattice basis reduction.

Computation on ciphertexts of all known fully homomorphic encryption (FHE) schemes induces some noise, which, if too large, will destroy the plaintext. Therefore, the bootstrapping technique that re-encrypts a ciphertext and reduces the noise level remains the only known way of building FHE schemes for arbitrary unbounded computations. The bootstrapping step is also the major efficiency bottleneck in current FHE schemes. A promising direction towards improving concrete efficiency is to exploit the bootstrapping process to perform useful computation while reducing the noise at the same time. We show a bootstrapping algorithm, which embeds a lookup table and evaluates arbitrary functions of the plaintext while reducing the noise. Depending on the choice of parameters, the resulting homomorphic encryption scheme may be either an exact FHE or homomorphic encryption for approximate arithmetic. Since we can evaluate arbitrary functions over the plaintext space, we can use the natural homomorphism of Regev encryption to compute affine functions without bootstrapping almost for free. Consequently, our algorithms are particularly suitable for arithmetic circuits over a finite field with many additions and scalar multiplication gates. We achieve significant speedups when compared to binary circuit-based FHE. For example, we achieve 280-1200x speedups when computing an affine function of size 784 followed by any univariate function when compared to FHE schemes that compute binary circuits. With our bootstrapping algorithm, we can efficiently convert between arithmetic and boolean plaintexts and extend the plaintext space using the Chinese remainder theorem. Furthermore, we can run the computation in an exact and approximate mode where we trade-off the size of the plaintext space with approximation error. We provide a tight error analysis and show several parameter sets for our bootstrapping. Finally, we implement our algorithm and provide extensive tests. We demonstrate our algorithms by evaluating different neural networks in several parameter and accuracy settings.

In this report we study efficient binary approximations of the FSM of ZUC-256 with high correlation around $2^{-21.1}$ between the keystream words and the LFSR. We then map these approximations into a binary distinguisher with complexity around $2^{234}$. Thereafter, we convert to an approximation in the LFSR's field $\mathbb{Z}_p$ with correlation around $2^{-33.6}$. We share a number of observations and state open problems for further research and considerations.

We argue that for all integers $N \geq 2$ and $g \geq 1$ there exist "multiradical" isogeny formulae, that can be iteratively applied to compute $(N^k, \ldots, N^k)$-isogenies between principally polarized $g$-dimensional abelian varieties, for any value of $k \geq 2$. The formulae are complete: each iteration involves the extraction of $g(g+1)/2$ different $N$th roots, whence the epithet multiradical, and by varying which roots are chosen one computes all $N^{g(g+1)/2}$ extensions to an $(N^k, \ldots, N^k)$-isogeny of the incoming $(N^{k-1}, \ldots, N^{k-1})$-isogeny. Our group-theoretic argumentation is heuristic, but it is supported by concrete formulae for several prominent families. As our main application, we illustrate the use of multiradical isogenies by implementing a hash function from $(3,3)$-isogenies between Jacobians of superspecial genus-$2$ curves, showing that it outperforms its $(2,2)$-counterpart by an asymptotic factor $\approx 9$ in terms of speed.

The isogeny-based post-quantum schemes SIKE (NIST PQC round 3 alternate candidate) and CSIDH (Asiacrypt 2018) have received only little attention with respect to their fault attack resilience so far. We aim to fill this gap and provide a better understanding of their vulnerability by analyzing their resistance towards safe-error attacks. We present four safe-error attacks, two against SIKE and two against a constant-time implementation of CSIDH that uses dummy isogenies. The attacks use targeted bitflips during the respective isogeny-graph traversals. All four attacks lead to full key recovery. By using voltage and clock glitching, we physically carried out two of the attacks - one against each scheme -, thus demonstrate that full key recovery is also possible in practice.

Multi-Key fully homomorphic encryption (MKFHE) allows computations on data encrypted by different parties. One disadvantage of previous MKFHE schemes is that the ciphertext size increases linearly or squarely with respect to the number of parties. It incurs a heavy communication and computation burden for the homomorphic evaluation, especially when the number of involved parties is large. In this paper, we propose the first method to construct MKFHE scheme while keeping the size of the ciphertext and corresponding evaluation key to be independent of the number of parties during the homomorphic evaluation. Specifically, we construct efficient compact MKFHE schemes with various advantages. On the one hand, we show how to construct compact MKFHE schemes which support the homomorphic encryption of ring elements and are friendly to floating point numbers. On the other hand, we give a compact MKFHE scheme that supports high efficient bootstrapping. In our paper, we show a novel method to reduce the cost of generating these evaluation keys from a quadratic time to a linear time with respect to the number of parties.

Here we consider a method for quickly testing for group membership in the groups $\G_1$, $\G_2$ and $\G_T$ (all of prime order $r$) as they arise on a type-3 pairing-friendly curve. As is well known endomorphisms exist for each of these groups which allows for faster point multiplication for elements of order $r$. The endomorphism applies if an element is of order $r$. Here we show that, under relatively mild conditions, the endomorphism applies {\bf if and only if} an element is of order $r$. This results in a faster method of confirming group membership. In particular we show that the conditions are met for the popular BLS family of curves.

In this paper, the authors construct a new type of cryptographic sequence which is named an extra-super increasing sequence, and give the definitions of the minimal super increasing sequence {a[1], a[2], ..., a[n]} and minimal extra-super increasing sequence {z[1], z[2], ..., z[n]}. Prove that the minimal extra-super increasing sequence is the odd-positioned subsequence of the Fibonacci sequence, namely {z[1], z[2], ..., z[n], ...} = {F[1], F[3], ..., F[2n-1], ...}, which indicates that the approach to the golden ratio phi through the term difference ratio (z[n+1] - z[n]) / z[n] is more smooth and expeditious than through the term ratio (F[n+1] / F[n]). Further prove that the limit of the term ratio difference between the two cryptographic sequences equals the golden ratio conjugate PHI, namely lim (n to infinity) (z[n+1] / z[n] - a[n+1] / a[n]) = PHI, which reveals the beauty of cryptography.

We study non-malleable secret sharing against joint leakage and joint tampering attacks. Our main result is the first threshold secret sharing scheme in the plain model achieving resilience to noisy-leakage and continuous tampering. The above holds under (necessary) minimal computational assumptions (i.e., the existence of one-to-one one-way functions), and in a model where the adversary commits to a fixed partition of all the shares into non-overlapping subsets of at most $t-1$ shares (where $t$ is the reconstruction threshold), and subsequently jointly leaks from and tampers with the shares within each partition. We also study the capacity (i.e., the maximum achievable asymptotic information rate) of continuously non-malleable secret sharing against joint continuous tampering attacks. In particular, we prove that whenever the attacker can tamper jointly with $k > t/2$ shares, the capacity is at most $t - k$. The rate of our construction matches this upper bound. An important corollary of our results is the first non-malleable secret sharing scheme against independent tampering attacks breaking the rate-one barrier (under the same computational assumptions as above).

Authenticated Key Exchange (AKE) protocols, by definition, guarantee both session key secrecy and entity authentication. Informally, session key secrecy means that only the legitimate parties learn the established key and mutual authentication means that one party can assure itself the session key is actually established with the other party. Today, an important application area for AKE is Internet of Things (IoT) systems, where an IoT device runs the protocol to establish a session key with a remote server. In this paper, we identify two additional security requirements for IoT-oriented AKE, namely Key Compromise Impersonation (KCI) resilience and Server Compromise Impersonation (SCI) resilience. These properties provide an additional layer of security when the IoT device and the server get compromised respectively. Inspired by Chan et al.'s bigdata-based unilateral authentication protocol, we propose a novel AKE protocol which achieves mutual authentication, session key secrecy (including perfect forward secrecy), and the above two resilience properties. To demonstrate its practicality, we implement our protocol and show that one execution costs about 15.19 ms (or, 84.73 ms) for the IoT device and 2.44 ms (or, 12.51 ms) for the server for security parameter &#955; =128 (or, &#955; =256). We finally propose an enhanced protocol to reduce the computational complexity on the end of IoT by outsourcing an exponentiation computation to the server. By instantiating the signature scheme with NIST's round three alternate candidate Picnic, we show that one protocol execution costs about 14.44 ms (or, 58.45 ms) for the IoT device and 12.78 ms (or, 46.34 ms) for the server for security parameter &#955; =128 (or, &#955; =256).

We introduce the concept of turn-based communication channel between two mutually distrustful parties with communication consistency, i.e. both parties have the same message history, and happens in sets of exchanged messages across a limited number of turns. Our construction leverages on timed primitives. Namely, we introduce a novel Delta-delay hash function definition in order to establish turns in the channel. Concretely, we introduce the one-way turn-based communication scheme and the two-way turn-based communication protocol and provide a concrete instantiation that achieves communication consistency.

Differential privacy is a concept to quantify the disclosure of private information that is controlled by the privacy parameter~$\varepsilon$. However, an intuitive interpretation of $\varepsilon$ is needed to explain the privacy loss to data engineers and data subjects. In this paper, we conduct a worst-case study of differential privacy risks. We generalize an existing model and reduce complexity to provide more understandable statements on the privacy loss. To this end, we analyze the impact of parameters and introduce the notion of a global privacy risk and global privacy leak.

Fault attacks have gained particular attention in recent years as they present a severe threat to security in rapidly rising Internet-of-Things (IoT) devices. IoT devices are generally security-critical and resource-constrained. Therefore, any security protocol deployed in these devices has to satisfy several constraints such as small area footprint, low power, and memory consumption. Combinational circuit implementation of S-box is preferable over look-up table (LUT) in terms of memory consumption as the memory operations are usually the costliest part of lightweight cipher implementations. In this work, we analyze the S-box of AES against a novel fault analysis technique, Semi-Permanent Stuck-At (SPSA) fault analysis. We pinpoint hotspots in an optimized implementation of AES S-box that weaken the cryptographic properties of the S-box, leading to key recovery attacks. Our work investigates new vulnerabilities towards fault analysis in combinational circuit implementation.

We present the first Oblivious RAM (ORAM) construction that for $N$ memory blocks supports accesses with worst-case $O(\log N)$ overhead for any block size $\Omega(\log N)$ while requiring a client memory of only a constant number of memory blocks. We rely on the existence of one-way functions and guarantee computational security. Our result closes a long line of research on fundamental feasibility results for ORAM constructions as logarithmic overhead is necessary. The previous best logarithmic overhead construction only guarantees it in an amortized sense, i.e., logarithmic overhead is achieved only for long enough access sequences, where some of the individual accesses incur $\Theta(N)$ overhead. The previously best ORAM in terms of worst-case overhead achieves $O(\log ^2 N/\log\log N)$ overhead. Technically, we design a novel de-amortization framework for modern ORAM constructions that use the ``shuffled inputs'' assumption. Our framework significantly departs from all previous de-amortization frameworks, originating from Ostrovsky and Shoup (STOC '97), that seem to be fundamentally too weak to be applied on modern ORAM constructions.

In today's real-world elections the choice of the voting scheme is often more subject to dogma and tradition than the result of an objective and scientific selection process. As a consequence, it is left to intuition whether the chosen scheme satisfies desired security properties, while objectively more suitable schemes might be rejected without due cause. Employing a scientific selection process to decide on a specific voting scheme is currently infeasibly cumbersome. Even those few schemes which have been thouroughly analyzed do not provide easily comparable analysis results or fail to provide the information desired for real-world application. Hence there is a strong need to increase meaningful comparability, allowing democracies to choose the voting scheme that is best suited for their setting. In this paper we analyze which factors currently impede the comparability of both classic and cryptographic voting schemes and which information is needed to facilitate meaningful comparisons. As a first result we find that there is a severe lack of general understanding of the workings and properties of the classic paper-based systems which are in use around the world today. In this we highlight that commonly voiced intuitive comparisons especially to classic paper-based voting lack the necessary scientific basis and are therefore no sufficient foundation. We then develop an analysis framework to concisely showcase the most important characteristics of a voting scheme as well as to enable comparisons to other schemes. The utility of our analysis framework is demonstrated by analyzing and comparing two examples. Our work underlines the need for more academic work towards the comparability of voting schemes and lays a foundation for addressing this issue.

The humble integers, $\mathbb{Z}$, are the backbone of many cryptosystems. When bridging the gap from theoretical systems to real-world implementations, programmers often look towards general purpose libraries to implement the arbitrary-precision arithmetic required. Alas, these libraries are often conceived without cryptography in mind, leaving applications potentially vulnerable to timing attacks. To address this, we present saferith, a library providing safer arbitrary-precision arithmetic for cryptography, through constant-time operations. The main challenge was in designing an API to provide this functionality alongside these stronger constant-time guarantees. We benchmarked the performance of our library against Go's big.Int library, and found an acceptable slowdown of only 2.56x for modular exponentiation, the most expensive operation. Our library was also used to implement a variety cryptosystems and applications, in collaboration with industrial partners ProtonMail and Taurus. Porting implementations to use our library is relatively easy: it took the first author under 8 hours to port Go's implementation of P-384.

Simpira Permutation is a Permutation design using the AES algorithm. The AES algorithm is the most widely used in the world, and Intel has developed a hardware accelerated AES instruction set (AES-NI) to improve the performance of encryption. By using AES-NI, Simpira can be improved further. However, low-end processors that do not support AES-NI require efficient implementation of Simpira optimization. In this paper, we introduce a optimized implementation of a Simpira Permutation in 8-bit AVR microcontrollers and 32-bit RISC-V processors, that do not support the AES instruction set. We firstly pre-computed round keys and omitted the Addroundkey. Afterward, the MixColumn and InvMixColumn of the final round (i.e. 12-th), which were added unnecessarily due to characteristics of Simpira using AES-NI, were omitted. In the AVR microcontroller, the Addroundkey consists of 16 operations, but it has been optimized by eliminating operations where the value of roundkeys is \texttt{0x00}, omitting Addroundkey to 4 operations. In the RISC-V processor, it is implemented using a same optimization technique of AVR implementation. We have carried out experiments 8-bit ATmega128 microcontroller and 32-bit RISC-V processor, which shows up-to \texttt{5.76$\times$ and 37.01$\times$} better performance enhancement than reference codes for the Simpira Permutation, respectively.

Collision attacks on AES-like hashing (hash functions constructed by plugging AES-like ciphers or permutations into the famous PGV modes or their variants) can be reduced to the problem of finding a pair of inputs respecting a differential of the underlying AES-like primitive whose input and output differences are the same. The rebound attack due to Mendel et al. is a powerful tool for achieving this goal, whose quantum version was first considered by Hosoyamada and Sasaki at EUROCRYPT 2020. In this work, we automate the process of searching for the configurations of rebound attacks by taking related-key differentials of the underlying block cipher into account with the MILP-based approach. In the quantum setting, our model guide the search towards characteristics that minimize the resources (e.g., QRAM) and complexities of the resulting rebound attacks. We apply our method to Saturnin-hash, SKINNY, and Whirlpool and improved results are obtained.

Homomorphic cryptography is used when computations are delegated to an untrusted third-party. However, there is a discrepancy between the untrustworthiness of the third-party and the silent assumption that it will perform the expected computations on the encrypted data. This may raise serious privacy concerns, for example when homomorphic cryptography is used to outsource resource-greedy computations on personal data (e.g., from an IoT device to the cloud). In this paper we show how to cost-effectively verify that the delegated computation corresponds to the expected sequence of operations, thus drastically reducing the necessary level of trust in the third-party. Our approach is based on the well-known modular extension scheme: it is transparent for the third-party and it is not tied to a particular homomorphic cryptosystem nor depends on newly introduced (and thus less-studied) cryptographic constructions. We provide a proof-of-concept implementation, THC (for "trustable homomorphic computation"), which we use to perform security and performance analyses. We then demonstrate its practical usability, in the case of a toy electronic voting system.

Polynomial multiplication is a core operation for public key cryptography, such as pre-quantum cryptography (e.g. elliptic curve cryptography) and post-quantum cryptography (e.g. code-based cryptography and multivariate-based cryptography). For this reason, the efficient and secure implementation of polynomial multiplication has been actively conducted for high availability and security level in application services. In this paper, we present all polynomial multiplication methods on modern 32-bit RISC-V processors. We re-designed expensive implementations of polynomial multiplication on legacy microcontrollers (e.g. 8-bit AVR, 16-bit MSP, and 32-bit ARM) for new instruction sets of 32-bit RISC-V processors. Secondly, we suggest the optimal operand length for each polynomial multiplication on 32-bit RISC-V processors. With this implementation technique and Karatsuba algorithm, we achieved scalable features, which ensures the polynomial multiplication in any operand lengths with reasonably fast performance. Third, we propose instruction set extensions for the optimal implementation of polynomial multiplication on 32-bit RISC-V processors. This new feature introduces significant performance enhancements. Lastly, the proposed implementation is a public domain and following researchers can easily re-produce the result.

It is known that fully homomorphic encryption (FHE) can be used to build efficient (labeled) Private Set Intersection protocols in the unbalanced setting, where one of the sets is much larger than the other (Chen et al. (CCS'17, CCS'18)). In this paper we demonstrate multiple algorithmic improvements upon these works. In particular, our protocol has an asymptotically better computation cost, requiring only $O(\sqrt{|X|})$ homomorphic multiplications, and communication complexity sublinear in the larger set size $|X|$. We demonstrate that our protocol is significantly better than that of Chen et al. (CCS'18) for many practical parameters, especially in terms of online communication cost. For example, when intersecting $2^{28}$ and $2048$ item sets, our protocol reduces the online computation time by more than 83% and communication by more than 32%. When intersecting $2^{24}$ and $4096$ item sets, our protocol reduces the online computation time by 50% and communication by 52%. Our comparison to other state-of-the-art unbalanced PSI protocols shows that our protocol has the best total communication complexity when $|X| \geq 2^{24}$. For labeled PSI our protocol also outperforms Chen et al. (CCS'18). When intersecting $2^{20}$ and $256$ item sets, with the larger set having associated $288$-byte labels, our protocol reduces the online computation time by more than 85% and communication by 36%. Finally, we demonstrate a modification that results in nearly constant communication cost in the larger set size $|X|$, but impractically high computation complexity on today's CPUs. For example, to intersect a $210$-item set with sets of size $2^{22}$, $2^{24}$, or $2^{26}$, our proof-of-concept implementation requires only $0.76$ MB of online communication, which is more than a $24$-fold improvement over Chen et al. (CCS'18).

A secret sharing scheme enables the dealer to share a secret among $n$ parties. A classic secret sharing scheme takes the number $n$ of parties and the secret as the input. If $n$ is not known in advance, the classic secret sharing scheme may fail. Komargodski, Naor, and Yogev \cite[TCC 2016]{KNY16} first proposed the evolving secret sharing scheme that only takes the secret as the input. In the work \cite[TCC 2016]{KNY16}, \cite[TCC 2017]{KC17} and \cite[Eurocrypt 2020]{BO20}, evolving threshold and ramp secret sharing schemes were extensively investigated. However, all of their constructions except for the first construction in \cite{BO20} are inspired by the scheme given in \cite{KNY16}, namely, these schemes rely on the scheme for st-connectivity which allows to generate infinite number of shares. In this work, we revisit evolving secret sharing schemes and present three constructions that take completely different approach. Most of the previous schemes mentioned above have more combinatorial flavor, while our schemes are more algebraic in nature. More precisely speaking, our evolving secret sharing schemes are obtained via either the Shamir secret sharing or arithmetic secret sharing from algebraic geometry codes alone. Our first scheme is an evolving $k$-threshold secret sharing scheme with share size $k^{1+\epsilon}\log t$ for any constant $\epsilon>0$. Thus, our scheme achieves almost the same share size as in \cite[TCC 2016]{KNY16}. Moreover, our scheme is obtained by a direct construction while the scheme in \cite[TCC 2016]{KNY16} that achieves the $(k-1)\log t$ share size is obtained by a recursive construction which makes their structure complicated. Our second scheme is an evolving $k_t$-threshold secret sharing scheme with any sequence $\{k_t\}_{t=1}^\infty$ of threshold values that has share size $t^4$. This scheme improves the share size by $\log t$ given in \cite{KC17} where a dynamic evolving $k_t$-threshold secret sharing scheme with the share size $O(t^4\log t)$ was proposed. In addition, we also show that if the threshold values $k_t$ grow in rate $\lfloor \beta t\rfloor$ for a real $\beta\in(0,1)$, then we have a dynamic evolving threshold secret sharing scheme with the share size $O(t^{4\beta})$. For $\beta<0.25$, this scheme has sub-linear share size which was not known before. Our last scheme is an evolving $(\Ga t,\Gb t)$-ramp secret sharing scheme with constant share size. One major feature of this ramp scheme is that it is multiplicative as the scheme is also an arithmetic secret sharing scheme. We note that the same technique in \cite{KC17} can also transform all of our schemes to a robust scheme as our scheme is linear.\footnote{We note that by replacing the building block scheme with an arithmetic secret sharing scheme, the evolving $(\Ga t,\Gb t)$-ramp secret sharing scheme in \cite{BO20} can also be multiplicative. However, their share size is much bigger than ours as each party hold multiple shares. }

Recently, several cryptosystems have been proposed based semidirect products of various algebraic structures. Efficient attacks against several of them have already been given, including one very general attack which, unfortunately, does not apply to the MOBS system. The purpose of this note is to provide an observation that can be used as a point-of-attack for similar systems, and show how it can be used to efficiently cryptanalyze the MOBS system.

Doubly Efficient Private Information Retrieval (DEPIR) enables queries to an externally held database while hiding the identity of the queried indices, strengthening standard Private Information Retrieval (Chor, Goldreich, Kushilevitz, Sudan FOCS'95) with an efficiency requirement that the computational demands of both client and server are sublinear in the database size. The first DEPIR candidate constructions were recently put forth, based on a new type of assumption relating to indistinguishability of moderate-degree polynomials from random functions when given permuted versions of their evaluation graphs (Boyle, Ishai, Pass, Wootters TCC'17 and Canetti, Holmgren, Richelson TCC'17). To aid in the cryptanalytic study of this new assumption, the work of (BIPW TCC'17) put forth a simpler ``toy conjecture'' variant. In this note, we present an attack that provably breaks the BIPW TCC'17 toy conjecture. The attack identifies a natural embedding of permuted samples into a higher-dimensional linear space for which permuted polynomial samples will be rank deficient. We note, however, that our attack does not apply to the real assumption underlying the constructions, and thus the candidates still stand. We discuss extensions of the attack and present an alternative ``new toy conjecture'' for future study. Similar results were independently obtained by (Blackwell and Wootters, ArXiv'21).

Some key agreement schemes, such as Diffie--Hellman key agreement, reduce to Rabi--Sherman key agreement, in which Alice sends $ab$ to Charlie, Charlie sends $bc$ to Alice, they agree on key $a(bc) = (ab)c$, where multiplicative notation here indicates some specialized associative binary operation. All non-interactive key agreement schemes, where each peer independently determines a single delivery to the other, reduce to this case, because the ability to agree implies the existence of an associative operation. By extending the associative operation’s domain, the key agreement scheme can be enveloped into a mathematical ring, such that all cryptographic values are ring elements, and all key agreement computations are ring multiplications. (A smaller envelope, a semigroup instead of a ring, is also possible.) Security relies on the difficulty of division: here, meaning an operator $/$ such that $((ab)/b)b = ab$. Security also relies on the difficulty of the less familiar wedge operation $[ab, b, bc] \mapsto abc$. When Rabi--Sherman key agreement is instantiated as Diffie--Hellman key agreement: its multiplication amounts to modular exponentiation; its division amounts to the discrete logarithm problem; the wedge operation amounts to the computational Diffie--Hellman problem. Ring theory is well-developed and implies efficient division algorithms in some specific rings, such as matrix rings over fields. Semigroup theory, though less widely-known, also implies efficient division in specific semigroups, such as group-like semigroups. The rarity of key agreement schemes with well-established security suggests that easy multiplication with difficult division (and wedges) is elusive. Reduction of key agreement to ring or semigroup multiplication is not a panacea for cryptanalysis. Nonetheless, novel proposals for key agreement perhaps ought to run the gauntlet of a checklist for vulnerability to well-known division strategies that generalize across several forms of multiplication. Ambitiously applying this process of elimination to a plethora of diverse rings or semigroups might also, if only by a fluke, leave standing a few promising schemes, which might then deserve a more focused cryptanalysis.

We propose a second-order masking of the AES in hardware that requires an order of magnitude less random bits per encryption compared to previous work. The design and its security analysis are based on recent results by Beyne et al. from Asiacrypt 2020. Applying these results to the AES required overcoming significant engineering challenges by introducing new design techniques. Since the security analysis is based on linear cryptanalysis, the masked cipher needs to have sufficient diffusion and the S-box sharing must be highly nonlinear. Hence, in order to apply the changing of the guards technique, a detailed study of its effect on the diffusion of the linear layer becomes important. The security analysis is automated using an SMT solver. Furthermore, we propose a sharpening of the glitch-extended probing model that results in improvements to our concrete security bounds. Finally, it is shown how to amortize randomness costs over multiple evaluations of the masked cipher.

Physical side-channel attacks like power analysis pose a serious threat to cryptographic devices in real-world applications. Consequently, devices implement algorithmic countermeasures like masking. In the past, works on the design and verification of masked software implementations have mostly focused on simple microprocessors that find usage on smart cards. However, many other applications such as in the automotive industry require side-channel protected cryptographic computations on much more powerful CPUs. In such situations, the security loss due to complex architectural side-effects, the corresponding performance degradation, as well as discussions of suitable probing models and verification techniques are still vastly unexplored research questions. We answer these questions and perform a comprehensive analysis of more complex processor architectures in the context of masking-related side effects. First, we analyze the RISC-V SweRV core — featuring a 9-stage pipeline, two execution units, and load/store buffers — and point out a significant gap between security in a simple software probing model and practical security on such CPUs. More concretely, we show that architectural side effects of complex CPU architectures can significantly reduce the protection order of masked software, both via formal analysis in the hardware probing model, as well as empirically via gate-level timing simulations. We then discuss the options of fixing these problems in hardware or leaving them as constraints to software. Based on these software constraints, we formulate general rules for the design of masked software on more complex CPUs. Finally, we compare several implementation strategies for masking schemes and present in a case study that designing secure masked software for complex CPUs is still possible with overhead as low as 13%.

We present an actively secure threshold scheme in the setting of Hard Homogeneous Spaces (HHS) which allows fine-grained access structures. More precisely, we elevate a passively secure isogeny-based threshold scheme to an actively secure setting. We prove the active security and simulatability of our advanced schemes. By characterising the necessary properties, we open our schemes to a significantly wider field of applicable secret sharing schemes. Furthermore, we show that Shamir’s scheme has our generalised properties, and thereby our approach truly represents a less restrictive generalisation.

As humanity struggles to contain the global COVID pandemic, privacy concerns are emerging regarding confinement, tracing and testing. The scientific debate concerning privacy of the COVID tracing efforts has been intense, especially focusing on the choice between centralised and decentralised tracing apps. The privacy concerns regarding COVID \underline{testing}, however, have not received as much attention even though the privacy at stake is arguably even higher. COVID tests require the collection of samples. Those samples possibly contain viral material but inevitably also human DNA. Patient DNA is not necessary for the test but it is technically impossible to avoid collecting it. The unlawful preservation, or misuse, of such samples at a massive scale may hence disclose patient DNA information with far-reaching privacy consequences. Inspired by the cryptographic concept of ``Indistinguishability under Chosen Plaintext Attack'', this paper poses the blueprint of novel types of tests allowing to detect viral presence without leaving persisting traces of the patient's DNA.

Deep Learning Side-Channel Attacks (DLSCAs) have become a realistic threat to implementations of cryptographic algorithms, such as Advanced Encryption Standard (AES). By utilizing deep-learning models to analyze side-channel measurements, the attacker is able to derive the secret key of the cryptographic alrgorithm. However, when traces have multiple leakage intervals for a specific attack point, the majority of existing works train neural networks on these traces directly, without a appropriate preprocess step for each leakage interval. This degenerates the quality of profiling traces due to the noise and non-primary components. In this paper, we first divide the multi-leaky traces into leakage intervals and train models on different intervals separately. Afterwards, we concatenate these neural networks to build the final network, which is called multi-input model. We test the proposed multi-input model on traces captured from STM32F3 microcontroller implementations of AES-128 and show a 2-fold improvement over the previous single-input attacks.

Higher-order power residues have enabled the construction of numerous public-key encryption schemes, authentication schemes, and digital signatures. Their explicit characterization is however challenging; an algorithm of Caranay and Scheidler computes $p$-th power residue symbols, with $p \le 13$ an odd prime, provided that primary elements in the corresponding cyclotomic field can be efficiently found. In this paper, we describe a new, generic algorithm to compute primary elements in cyclotomic fields; which we apply for $p=3,5,7,11,13$. A key insight is a careful selection of fundamental units as put forward by Dénes. This solves an essential step in the Caranay--Scheidler algorithm. We give a unified view of the problem. Finally, we provide the first efficient deterministic algorithm for the computation of the 9-th and 16-th power residue symbols.