In TCC 2013, Boyen suggested the first lattice based construction of attribute based encryption (ABE) for the circuit class $NC1$. Unfortunately, soon after, a flaw was found in the security proof of the scheme. However, it remained unclear whether the scheme is actually insecure, and if so, whether it can be repaired. Meanwhile, the construction has been heavily cited and continues to be extensively studied due to its technical novelty. In particular, this is the first lattice based ABE which uses linear secret sharing schemes (LSSS) as a crucial tool to enforce access control. In this work, we show that the scheme is in fact insecure. To do so, we provide a polynomial-time attack that completely breaks the security of the scheme. We suggest a route to fix the security of the scheme, via the notion of admissible linear secret sharing schemes (LSSS) and instantiate these for the class of DNFs. Subsequent to our work, Datta, Komargodski and Waters (Eurocrypt 2021) provided a construction of admissible LSSS for NC1 and resurrected Boyen's claimed result.

Let n be a positive integer. An n-stage Galois NFSR has n registers and each register is updated by a feedback function. Then a Galois NFSR is called nonsingular if every register generates (strictly) periodic sequences, i.e., no branch points. In this paper, a generic method for investigating nonsingular Galois NFSRs is provided. Two fundamental concepts that are standard Galois NFSRs and the simplified feedback function of a standard Galois NFSR are proposed. Based on the new concepts, a sufficient condition is given for nonsingular Galois NFSRs. In particular, for the class of Galois NFSRs with linear simplified feedback functions, a necessary and sufficient condition is presented. Hopefully, some new insights are provided on determining nonsingular Galois NFSRs.

Multiparty computation does not tolerate $n/3$ corruptions under a plain asynchronous communication network, whatever the computational assumptions. However, Beerliová-Hirt-Nielsen [BHN, Podc'10] showed that, assuming access to a synchronous broadcast at the beginning of the protocol, enables to tolerate up to $t<n/2$ corruptions. This model is denoted as ``Almost asynchronous'' MPC. Yet, their work [BHN] has limitations: (i) \emph{Setup assumptions:} their protocol is based on an encryption scheme, with homomorphic additivity, which requires that a trusted entity gives to players secret shares of a global decryption key ahead of the protocol. It was left as an open question in [BHN] whether one can remove this assumption, denoted as ``trusted setup''. (ii) \emph{Common Randomness generation:} the generation of threshold additively homomorphic encrypted randomness uses the broadcast, therefore is allowed only at the beginning of the protocol (iii) \emph{Proactive security:} the previous limitation directly precludes the possibility of tolerating a mobile adversary. Indeed, tolerance to this kind of adversary, which is denoted as ``proactive'' MPC, would require, in the above setup, a mechanism by which players refresh their secret shares of the global key, which requires \emph{on-the-fly} generation of common randomness. (iv) \emph{Triple generation latency: } The protocol to preprocess the material necessary for multiplication has latency $t$, which is thus linear in the number of players. We remove all the previous limitations. Of independent interest, the novel computation framework that we introduce for proactivity, revolves around players denoted as ``kings'', which, in contrast to Podc'10, are now \emph{replaceable} after every elementary step of the computation.

Revocable hierarchical identity-based encryption (RHIBE) is an extension of HIBE that provides the efficient key revocation function by broadcasting an update key per each time period. Many RHIBE schemes have been proposed by combining an HIBE scheme and the tree-based revocation method, but a generic method for constructing an RHIBE scheme has not been proposed. In this paper, we show for the first time that it is possible to construct RHIBE schemes by generically combining underlying cryptographic primitives and tree-based revocation methods. We first generically construct an RHIBE-CS scheme by combining HIBE schemes and the complete subtree (CS) method, and prove the adaptive security by using the adaptive security of the HIBE schemes. Thus, we obtain RHIBE schemes under the quadratic residuosity assumption, CDH assumption, and factoring assumption. Next, we generically construct an RHIBE-SD scheme with shorter update keys by combining HIBE and hierarchical single revocation encryption (HSRE) schemes, and the subset difference (SD) method to reduce the size of update keys. Finally, we generically construct an RHIBE-CS scheme with shorter ciphertexts by combining HIBE schemes with constant-size ciphertext and the CS method. Through different kind of generic combinations, we obtain various RHIBE schemes that provide a trade-off between shorter ciphertexts and shorter update keys.

Cryptocurrencies have received a lot of research attention in recent years following the release of the first cryptocurrency Bitcoin. With the rise in cryptocurrency transactions, the need for smart contracts has also increased. Smart contracts, in a nutshell, are digitally executed contracts wherein some parties execute a common goal. The main problem with most of the current smart contracts is that there is no privacy for a party's input to the contract from either the blockchain or the other parties. Our research builds on the Hawk project that provides transaction privacy along with support for smart contracts. However, Hawk relies on a special trusted party known as a manager, which must be trusted not to leak each party's input to the smart contract. In this paper, we present a practical private smart contract protocol that replaces the manager with an MPC protocol such that the function to be executed by the MPC protocol is relatively lightweight, involving little overhead added to the smart contract function, and uses practical sigma protocols and homomorphic commitments to prove to the blockchain that the sum of the incoming balances to the smart contract matches the sum of the outgoing balances.

Running secure multiparty computation (MPC) protocols with hundreds or thousands of players would allow leveraging large volunteer networks (such as blockchains and Tor) and help justify honest majority assumptions. However, most existing protocols have at least a linear (multiplicative)dependence on the number of players, making scaling difficult. Known protocols with asymptotic efficiency independent of the number of parties (excluding additive factors) require expensive circuit transformations that induce large overheads. We observe that the circuits used in many important applications of MPC such as training algorithms used to create machine learning models have a highly repetitive structure. We formalize this class of circuits and propose an MPC protocol that achieves O(|C|) total complexity for this class. We implement our protocol and show that it is practical and outperforms O(n|C|) protocols for modest numbers of players.

The recent work of Garg et al. from TCC'18 introduced the notion of registration based encryption (RBE). The principal motivation behind RBE is to remove the key escrow problem of identity based encryption (IBE), where the IBE authority is trusted to generate private keys for all the users in the system. Although RBE has excellent asymptotic properties, it is currently impractical. In our estimate, ciphertext size would be about 11 terabytes in an RBE deployment supporting 2 billion users. Motivated by this observation, our work attempts to reduce the concrete communication and computation cost of the current state-of-the-art construction. Our contribution is two-fold. First, we replace Merkle trees with crit-bit trees, a form of PATRICIA trie, without relaxing any of the original RBE efficiency requirements introduced by Garg et al. This change reduces the ciphertext size by 15% and the computation cost of decryption by 30%. Second, we observe that increasing RBE's public parameters by a few hundred kilobytes could reduce the ciphertext size by an additional 50%. Overall, our work decreases the ciphertext size by 57.5%.

The secure multi-device instant messaging ecosystem is diverse, varied, and underrepresented in academia. We create a systematization of knowledge which focuses on the challenges of multi-device messaging in a secure context and give an overview of the current situation in the multi-device setting. For that, we analyze messenger documentation, white papers, and research that deals with multi-device messaging. This includes a detailed description of different patterns for data transfer between devices as well as device management, i.e. how clients are cryptographically linked or unlinked to or from an account and how the initial setup can be implemented. We then evaluate different instant messengers with regard to relevant criteria, e.g. whether they achieve specific security, usability, and privacy goals. In the end, we outline interesting areas for future research.

Side-channel attacks that leak sensitive information through a computing device’s interaction with its physical environment have proven to be a severe threat to devices’ security, particularly when adversaries have unfettered physical access to the device. Traditional approaches for leakage detection measure the physical properties of the device. Hence, they cannot be used during the design process and fail to provide root cause analysis. An alternative approach that is gaining traction is to automate leakage detection by modeling the device. The demand to understand the scope, benefits, and limitations of the proposed tools intensifies with the increase in the number of proposals. In this SoK, we classify approaches to automated leakage detection based on the model’s source of truth. We classify the existing tools on two main parameters: whether the model includes measurements from a concrete device and the abstraction level of the device specification used for constructing the model. We survey the proposed tools to determine the current knowledge level across the domain and identify open problems. In particular, we highlight the absence of evaluation methodologies and metrics that would compare proposals’ effectiveness from across the domain. We believe that our results help practitioners who want to use automated leakage detection and researchers interested in advancing the knowledge and improving automated leakage detection.

In a prior paper we introduced a new symmetric key encryption scheme called Short Key Random Encryption Machine (SKREM), for which we claimed excellent security guarantees. In this paper we present and briefly discuss some of its applications outside conventional data encryption. These are Secure Coin Flipping, Cryptographic Hashing, Zero-Leaked-Knowledge Authentication and Authorization and a Digital Signature scheme which can be employed on a block-chain. We also briefly recap SKREM-like ciphers and the assumptions on which their security are based. The above applications are novel because they do not involve public key cryptography. Furthermore, the security of SKREM-like ciphers is not based on hardness of some algebraic operations, thus not opening them up to specific quantum computing attacks.

It has long been known that cryptographic schemes offering provably unbreakable security exist - namely the One Time Pad (OTP). The OTP, however, comes at the cost of a very long secret key - as long as the plain-text itself. In this paper we propose an encryption scheme which we (boldly) claim offers the same level of security as the OTP, while allowing for much shorter keys, of size polylogarithmic in the computing power available to the adversary. The Scheme requires a large sequence of truly random words, of length polynomial in the both plain-text size and the logarithm of the computing power the adversary has. We claim that it ensures such an attacker cannot discern the cipher output from random data, except with small probability. We also show how it can be adapted to allow for several plain-texts to be encrypted in the same cipher output, with almost independent keys. Also, we describe how it can be used in lieu of a One Way Function.

Key-oblivious encryption (KOE) is a newly developed cryptographic primitive that randomizes the public keys of an encryption scheme in an oblivious manner. It has applications in designing accountable tracing signature (ATS) that facilitates the group manager to revoke the anonymity of traceable users in a group signature while preserving the anonymity of non-traceable users. Despite of its importance and strong application, KOE has not received much attention in the literature. In this work, we introduce the first isogeny-based KOE scheme. Isogeny is a fairly young post-quantum cryptographic field with sophisticated algebraic structures and unique security properties. Our KOE scheme is resistant to quantum attacks and derives its security from Commutative Supersingular Decisional Diffie-Hellman (CSSDDH), which is an isogeny based hard problem. More concretely, we have shown that our construction exhibits key randomizability, plaintext indistinguishability under key randomization and key privacy under key randomization in the standard model adapting the security framework of [KM15]. Furthermore, we have manifested instantiation of our scheme from cryptosystem based on Commutative Supersingular Isogeny Diffie-Hellman (CSIDH-512) [BKV19]. Additionally, we demonstrate the utility of our KOE scheme by leveraging it to construct an isogeny-based ATS scheme preserving anonymity under tracing, traceability, non-frameability, anonymity with accountability and trace obliviousness in the random oracle model following the security framework of [LNWX19].

BIKE is a key encapsulation mechanism that entered the third round of the NIST post-quantum cryptography standardization process. This paper presents two constant-time implementations for BIKE, one tailored for the Intel Haswell and one tailored for the ARM Cortex-M4. Our Haswell implementation is much faster than the avx2 implementation written by the BIKE team: for bikel1, the level-1 parameter set, we achieve a 1.39x speedup for decapsulation (which is the slowest operation) and a 1.33x speedup for the sum of all operations. For bikel3, the level-3 parameter set, we achieve a 1.5x speedup for decapsulation and a 1.46x speedup for the sum of all operations. Our M4 implementation is more than two times faster than the non-constant-time implementation portable written by the BIKE team. The speedups are achieved by both algorithm-level and instruction-level optimizations.

This paper presents a constant-time implementation of Classic McEliece for ARM Cortex-M4. Specifically, our target platform is stm32f4-Discovery, a development board on which the amount of SRAM is not even large enough to hold the public key of the smallest parameter sets of Classic McEliece. Fortunately, the flash memory is large enough, so we use it to store the public key. For the level-1 parameter sets mceliece348864 and mceliece348864f, our implementation takes 582 199 cycles for encapsulation and 2 706 681 cycles for decapsulation. Compared to the level-1 parameter set of FrodoKEM, our encapsulation time is more than 80 times faster, and our decapsulation time is more than 17 times faster. For the level-3 parameter sets mceliece460896 and mceliece460896f, our implementation takes 1 081 335 cycles for encapsulation and 6 535 186 cycles for decapsulation. In addition, our implementation is also able to carry out key generation for the level-1 parameter sets and decapsulation for level-5 parameter sets on the board.

In most verifiable electronic voting schemes, one key step is the tally phase, where the election result is computed from the encrypted ballots. A generic technique consists in first applying (verifiable) mixnets to the ballots and then revealing all the votes in the clear. This however discloses much more information than the result of the election itself (that is, the winners) and may offer the possibility to coerce voters. In this paper, we present a collection of building blocks for designing tally-hiding schemes based on multi-party computations. As an application, we propose the first efficient tally-hiding schemes with no leakage for four important counting functions: D'Hondt, Condorcet, STV, and Majority Judgment. We prove that they can be used to design a private and verifiable voting scheme. We also unveil unknown flaws or leakage in several previously proposed tally-hiding schemes.

Fully homomorphic encryption (FHE) allows us to perform computations directly over encrypted data and can be widely used in some highly regulated industries. Gentry's bootstrapping procedure is used to refresh noisy ciphertexts and is the only way to achieve the goal of FHE up to now. In this paper, we optimize the LWE-based GSW-type bootstrapping procedure. Our optimization decreases the lattice approximation factor for the underlying worst-case lattice assumption from $\tilde{O}(N^{2.5})$ to $\tilde{O}(N^{2})$, and is time-efficient by a $O(\lambda)$ factor. Our scheme can also achieve the best factor in prior works on bootstrapping of standard lattice-based FHE by taking a larger lattice dimension, which makes our scheme as secure as the standard lattice-based PKE. Furthermore, in this work we present a technique to perform more operations per bootstrapping in the LWE-based FHE scheme. Although there have been studies to evaluate large FHE gates using schemes over ideal lattices, (i.e. using FHEW or TFHE), we are the first to study how to perform complex functions homomorphically over standard lattices.

Dynamic searchable symmetric encryption (DSSE) has been widely recognized as a promising technique to delegate update and search queries over an outsourced database to an untrusted server while guaranteeing the privacy of data. Many efforts on DSSE have been devoted to obtaining a good tradeoff between security and performance. However, it appears that all existing DSSE works miss studying on what will happen if the DSSE client issues irrational update queries carelessly, such as duplicate update queries and delete queries to remove non-existent entries (that have been considered by many popular database system in the setting of plaintext). In this scenario, we find that (1) most prior works lose their claimed correctness or security, and (2) no single approach can achieve correctness, forward and backward security, and practical performance at the same time. To address this problem, we study for the first time the notion of robustness of DSSE. Generally, we say that a DSSE scheme is robust if it can keep the same correctness and security even in the case of misoperations. Then, we introduce a new cryptographic primitive named key-updatable pseudo-random function and apply this primitive to constructing ROSE, a robust DSSE scheme with forward and backward security. Finally, we demonstrate the efficiency of ROSE by analyzing its computation and communication complexities and testing its search performance. The experimental results show that ROSE has a very efficient search performance over a large dataset.

In an electronic voting procedure, mixing networks are used to ensure anonymity of the casted votes. Each node of the network re-encrypts the input list of ciphertexts and randomly permutes it in a process named shuffle, and must prove (in zero-knowledge) that the process was applied honestly. To maintain security of such a process in a post-quantum scenario, new proofs are based on different mathematical assumptions, such as lattice-based problems. Nonetheless, the best lattice-based protocols to ensure verifiable shuffling have linear communication complexity on $N$, the number of shuffled ciphertexts. In this paper we propose the first sub-linear (on $N$) post-quantum zero-knowledge argument for the correctness of a shuffle, for which we have mainly used two ideas: arithmetic circuit satisfiability results from Baum \textit{et al.} (CRYPTO'2018) and Bene$\check{\text{s}}$ networks to model a permutation of $N$ elements. The achieved communication complexity of our protocol with respect to $N$ is $\mathcal{O}(\sqrt{N}\log^2(N))$, but we will also highlight its dependency on other important parameters of the underlying lattice ingredients.

Xifrat was a cryptosystem proposed about half a month ago. This paper demonstrate an attack that computes the mixing function without knowing its key.

In the wake of the global COVID-19 pandemic, video conference systems have become essential for not only business purposes, but also private, academic, and educational uses. Among the various systems, Zoom is the most widely deployed video conference system. In October 2020, Zoom Video Communications rolled out their end-to-end encryption (E2EE) to protect conversations in a meeting from even insiders, namely, the service provider Zoom. In this study, we conduct thorough security evaluations of the E2EE of Zoom (version 2.3.1) by analyzing their cryptographic protocols. We discover several attacks more powerful than those expected by Zoom according to their whitepaper. Specifically, if insiders collude with meeting participants, they can impersonate any Zoom user in target meetings, whereas Zoom indicates that they can impersonate only the current meeting participants. Besides, even without relying on malicious participants, insiders can impersonate any Zoom user in target meetings though they cannot decrypt meeting streams. In addition, we demonstrate several impersonation attacks by meeting participants or insiders colluding with meeting participants. Although these attacks may be beyond the scope of the security claims made by Zoom or may be already mentioned in the whitepaper, we reveal the details of the attack procedures and their feasibility in the real-world setting and propose effective countermeasures in this paper. Our findings are not an immediate threat to the E2EE of Zoom; however, we believe that these security evaluations are of value for deeply understanding the security of E2EE of Zoom.

Polynomial multiplication is one of the most time-consuming operations utilized in lattice-based post-quantum cryptography (PQC) schemes. CRYSTALS-KYBER is a lattice-based key encapsulation mechanism (KEM) and it was recently announced as one of the four finalists at round three in NIST's PQC Standardization. Therefore, efficient implementations of polynomial multiplication operation are crucial for high-performance CRYSTALS-KYBER applications. In this paper, we propose three different hardware architectures (lightweight, balanced, high-performance) that implement the NTT, Inverse NTT (INTT) and polynomial multiplication operations for the CRYSTALS-KYBER scheme. The proposed architectures include a unified butterfly structure for optimizing polynomial multiplication and can be utilized for accelerating the key generation, encryption and decryption operations of CRYSTALS-KYBER. Our high-performance hardware with 16 butterfly units shows up to 112×, 132× and 109× improved performance for NTT, INTT and polynomial multiplication, respectively, compared to the high-speed software implementations on Cortex-M4.

In this paper, we present a concretely efficient protocol for private set intersection (PSI) in the multi-party setting using oblivious pseudorandom function (OPRF). In fact, we generalize the approach used in the work of Chase and Miao [CRYPTO 2020] towards deploying a lightweight multi-point OPRF construction for two-party PSI. Our protocol only includes oblivious transfer (OT) extension and garbled Bloom filter as its main ingredients and avoids computationally expensive operations. From a communication pattern perspective, the protocol consists of two types of interactions. The first type is performed over a star-like communication graph in which one designated party interacts with all other parties via performing OTs as the sender. Besides, parties communicate through a path-like communication graph that involves sending a garbled Bloom filter from the first party to its neighboring party following the last one. This design makes our protocol to be highly scalable due to the independence of each party's complexity from the number of participating parties and thus causes a communication and computation complexities of $O(n\lambda k)$, where $n$ is the set size, $k$ is the number of hash functions, and $\lambda$ is the security parameter. Moreover, the asymptotic complexity of the designated party is $O(tn\lambda)$ which linearly scales with the number of parties $t$. We prove security of the proposed protocol against semi-honest adversaries.

In the final phase of the post-quantum cryptography standardization effort, the focus has been extended to include the side-channel resistance of the candidates. While some schemes have been already extensively analyzed in this regard, there is no such study yet of the finalist Kyber. In this work, we demonstrate the first completely masked implementation of Kyber which is protected against first- and higher-order attacks. To the best of our knowledge, this results in the first higher-order masked implementation of any post-quantum secure key encapsulation mechanism algorithm. This is realized by introducing two new techniques. First, we propose a higher-order algorithm for the one-bit compression operation. This is based on a masked bit-sliced binary-search that can be applied to prime moduli. Second, we propose a technique which enables one to compare uncompressed masked polynomials with compressed public polynomials. This avoids the costly masking of the ciphertext compression while being able to be instantiated at arbitrary orders. We show performance results for first-, second- and third-order protected implementations on the Arm Cortex-M0+ and Cortex-M4F. Notably, our implementation of first-order masked Kyber decapsulation requires 3.1 million cycles on the Cortex-M4F. This is a factor 3.5 overhead compared to the unprotected optimized implementation in pqm4. We experimentally show that the first-order implementation of our new modules on the Cortex-M0+ is hardened against attacks using 100 000 traces and mechanically verify the security in a fine-grained leakage model using the verification tool scVerif.

The developments in the areas of strong Physical Unclonable Functions (PUFs) predicate an ongoing struggle between designers and attackers. Such a combat motivated the atmosphere of open research, hence enhancing PUF designs in the presence of Machine Learning (ML) attacks. As an example of this controversy, at CHES 2019, a novel delay-based PUF (iPUF) has been introduced and claimed to be resistant against various ML and reliability attacks. At CHES 2020, a new divide-and-conquer modeling attack (splitting iPUF) has been presented showing the vulnerability of even large iPUF variants. Such attacks and analyses are naturally examined purely in the simulation domain, where some metrics like uniformity are assumed to be ideal. This assumption is motivated by a common belief that implementation defects (such as bias) may ease the attacks. In this paper, we highlight the critical role of uniformity in the success of ML attacks, and for the first time present a case where the bias originating from implementation defects hardens certain learning problems in complex PUF architectures. We present the result of our investigations conducted on a cluster of 100 Xilinx Artix 7 FPGAs, showing the incapability of the splitting iPUF attack to model even small iPUF instances when facing a slight non-uniformity. In fact, our findings imply that non-ideal conditions due to implementation defects should also be considered when developing an attack vector on complex PUF architectures like iPUF. On the other hand, we observe a relatively low uniqueness even when following the suggestions made by the iPUF’s original authors with respect to the FPGA implementations, which indeed questions the promised physical unclonability.

Apple's offline file-sharing service AirDrop is integrated into more than 1.5 billion end-user devices worldwide. We discovered two design flaws in the underlying protocol that allow attackers to learn the phone numbers and email addresses of both sender and receiver devices. As a remediation, we study the applicability of private set intersection (PSI) to mutual authentication, which is similar to contact discovery in mobile messengers. We propose a novel optimized PSI-based protocol called PrivateDrop that addresses the specific challenges of offline resource-constrained operation and integrates seamlessly into the current AirDrop protocol stack. Using our native PrivateDrop implementation for iOS and macOS, we experimentally demonstrate that PrivateDrop preserves AirDrop's exemplary user experience with an authentication delay well below one second. We responsibly disclosed our findings to Apple and open-sourced our PrivateDrop implementation.

With the rise of lattice cryptography, (negacyclic) convolution has received increased attention. E.g., the NTRU scheme internally employs cyclic polynomial multiplication, which is equivalent to the standard convolution, on the other hand, many Ring-LWE-based cryptosystems perform negacyclic polynomial multiplication. A method by Crandall implements an efficient negacyclic convolution over a finite field of prime order using an extended Discrete Galois Transform (DGT) – a finite field analogy to Discrete Fourier Transform (DFT). Compared to DGT, the classical DFT runs faster by an order of magnitude, however, it suffers from inevitable rounding errors due to finite floating-point number representation. In a recent Fully Homomorphic Encryption (FHE) scheme by Chillotti et al. named TFHE, small errors are acceptable (although not welcome), therefore we decided to investigate the application of DFT for negacyclic convolution. The primary goal of this paper is to suggest a method for fast negacyclic convolution over integer coefficients using an extended DFT. The key contribution is a thorough analysis of error propagation, as a result of which we derive parameter bounds that can guarantee even error-free results. We also suggest a setup that admits rare errors, which allows to increase the degree of the polynomials and/or their maximum norm at a fixed floating-point precision. Finally, we run benchmarks with parameters derived from a practical TFHE setup. We achieve around 24× better times than the generic NTL library (comparable to Crandall’s method) and around 4× better times than a na&#305;&#776;ve approach with DFT, with no errors.

Side-channel attacks can break mathematically secure cryptographic systems leading to a major concern in applied cryptography. While the cryptanalysis and security evaluation of Post-Quantum Cryptography (PQC) have already received an increasing research effort, a cost analysis of efficient side-channel countermeasures is still lacking. In this work, we propose a masked HW/SW codesign of the NIST PQC finalists Kyber and Saber, suitable for their different characteristics. Among others, we present a novel masked ciphertext compression algorithm for non-power-of-two moduli. To accelerate linear performance bottlenecks, we developed a generic Number Theoretic Transform (NTT) multiplier, which, in contrast to previously published accelerators, is also efficient and suitable for schemes not based on NTT. For the critical non-linear operations, masked HW accelerators were developed, allowing a secure execution using RISC-V instruction set extensions. With the proposed design, we achieved a cycle count of K:214k/E:298k/D:313k for Kyber and K:233k/E:312k/D:351k for Saber with NIST Level III parameter sets. For the same parameter sets, the masking overhead for the first-order secure decapsulation operation including randomness generation is a factor of 4.48 for Kyber (D:1403k) and 2.60 for Saber (D:915k).

In this work, we present a zero knowledge argument for general arithmetic circuits that is public-coin and constant rounds, so it can be made non-interactive and publicly verifiable with the Fiat-Shamir heuristic. The construction is based on the MPC-in-the-head paradigm, in which the prover jointly emulates all MPC protocol participants and can provide advice in the form of Beaver triples whose accuracy must be checked by the verifier. Our construction follows the Beaver triple sacrificing approach used by Baum and Nof [PKC 2020]. Our improvements reduce the communication per multiplication gate from 4 to 2 field elements, matching the performance of the cut-and-choose approach taken by Katz, Kolesnikov, and Wang [CCS 2018] and with lower additive overhead for some parameter settings. We implement our protocol and analyze its cost on Picnic-style post-quantum digital signatures based on the AES family of circuits.

ROLLO was a candidate to the second round of NIST Post-Quantum Cryptography standardization process. In the last update in April 2020, there was a key encapsulation mechanism (ROLLO-I) and a public-key encryption scheme (ROLLO-II). In this paper, we propose an attack to recover the syndrome during the decapsulation process of ROLLO-I. From this syndrome, we explain how to perform a private key-recovery. We target two constant-time implementations: the C reference implementation and a C implementation available on GitHub. By getting power measurements during the execution of the Gaussian elimination function, we are able to extract on a single trace each element of the syndrome. This attack can also be applied to the decryption process of ROLLO-II.

Block ciphers have been extremely predominant in the area of cryptography and due to the paradigm shift towards devices of resource constrained nature, lightweight block ciphers have totally influenced the field and has been a go-to option ever since. The growth of resource constrained devices have put forth a dire need for the security solutions that are feasible in terms of resources without taking a toll on the security that they offer. As the world is starting to move towards Internet of Things (IoT), data security and privacy in this environment is a major concern. This is due to the reason that a huge number of devices that operate in this environment are resource constrained. Because of their resource-constrained nature, advanced mainstream cryptographic ciphers and techniques do not perform as efficiently on such devices. This has led to the boom in the field of 'lightweight cryptography' which aims at developing cryptographic techniques that perform efficiently in a resource constrained environment. Over the period of past two decades or so, a bulk of lightweight block ciphers have been proposed due to the growing need and demand in lightweight cryptography. In this paper, we review the state-of-the-art lightweight block ciphers, present a comprehensive design niche, give a detailed taxonomy with multiple classifications and present future research directions.

Many central banks, as well as blockchain systems, are looking into distributed versions of interbank payment systems, in particular the netting procedure. When executed in a distributed manner this presents a number of privacy problems. This paper studies a privacy preserving netting protocol to solve the gridlock resolution problem in such Real Time Gross Settlement systems. Our solution utilizes Multi-party Computation and is implemented in the SCALE MAMBA system, using Shamir secret sharing scheme over three parties in an actively secure manner. Our experiments show that, even for large throughput systems, such a privacy preserving operation is often feasible.

Rasta and Dasta are two fully homomorphic encryption friendly symmetric-key primitives proposed at CRYPTO 2018 and ToSC 2020, respectively. We point out that the designers of Rasta and Dasta neglected an important property of the $\chi$ operation. Combined with the special structure of Rasta and Dasta, this property directly leads to significantly improved algebraic cryptanalysis. Especially, it enables us to theoretically break 2 out of 3 instances of full Agrasta, which is the aggressive version of Rasta with the block size only slightly larger than the security level in bits. We further reveal that Dasta is more vulnerable to our attacks than Rasta for its usage of a linear layer composed of an ever-changing bit permutation and a deterministic linear transform. Based on our cryptanalysis, the security margins of Dasta and Rasta parameterized with $(n,\kappa,r)\in\{(327,80,4),(1877,128,4),(3545,256,5)\}$ are reduced to only 1 round, where $n$, $\kappa$ and $r$ denote the block size, the claimed security level and the number of rounds, respectively. These parameters are of particular interest as the corresponding ANDdepth is the lowest among those that can be implemented in reasonable time and target the same claimed security level.

In modern times, data collected from multi-user distributed applications must be analyzed on a massive scale to support critical business objectives. While analytics often requires the use of personal data, it may compromise user privacy expectations if this analysis is conducted over plaintext data. Private Stream Aggregation (PSA) allows for the aggregation of time-series data, while still providing strong privacy guarantees, and is significantly more efficient over a network than related techniques (e.g. homomorphic encryption, secure multiparty computation, etc.) due to its asynchronous and efficient protocols. However, PSA protocols face limitations and can only compute basic functions, such as sum, average, etc.. We present Cryptonomial, a framework for converting any PSA scheme amenable to a complex canonical embedding into a secure computation protocol that can compute any function over time-series data that can be written as a multivariate polynomial, by combining PSA and a Trusted Execution Environment. This design allows us to compute the parallelizable sections of our protocol outside the TEE using advanced hardware, that can take better advantage of parallelism. We show that Cryptonomial inherits the security requirements of PSA, and supports fully malicious security. We simulate our scheme, and show that our techniques enable performance that is orders of magnitude faster than similar work supporting polynomial calculations.

Histograms have a large variety of useful applications in data analysis, e.g., tracking the spread of diseases and analyzing public health issues. However, most data analysis techniques used in practice operate over plaintext data, putting the privacy of users’ data at risk. We consider the problem of allowing an untrusted aggregator to privately compute a histogram over multiple users’ private inputs (e.g., number of contacts at a place) without learning anything other than the final histogram. This is a challenging problem to solve when the aggregators and the users may be malicious and collude with each other to infer others’ private inputs, as existing black box techniques incur high communication and computational overhead that limit scalability. We address these concerns by building a novel, efficient, and scalable protocol that intelligently combines a Trusted Execution Environment (TEE) and the Durstenfeld-Knuth uniformly random shuffling algorithm to update a mapping between buckets and keys by using a deterministic cryptographically secure pseudorandom number generator. In addition to being provably secure, experimental evaluations of our technique indicate that it generally outperforms existing work by several orders of magnitude, and can achieve performance that is within one order of magnitude of protocols operating over plaintexts that do not offer any security.

Ed25519 has significant performance benefits compared to ECDSA using Weierstrass curves such as NIST P-256, therefore it is considered a good digital signature algorithm, specially for low performance IoT devices. However, such devices often have very limited resources and thus, implementations for these devices need to be as small and as performant as possible while being secure. In this paper we describe a scenario in which an obvious strategy to aggressively optimize an Ed25519 implementation for code size leads to a small memory footprint that is functionally correct but vulnerable to side-channel attacks. This strategy serves as an example of aggressive optimizations that might be considered by cryptography engineers, developers, and practitioners unfamiliar with the power of Side-Channel Analysis (SCA). As a solution to the flawed implementation example, we use a computer-aided cryptography tool generating formally verified finite field arithmetic to generate two secure Ed25519 implementations fulfilling different size requirements. After benchmarking and comparing these implementations to other widely used implementations our results show that computer-aided cryptography is capable of generating competitive code in terms of security, speed, and size.

A secret-sharing scheme allows to distribute a secret $s$ among $n$ parties such that only some predefined ``authorized'' sets of parties can reconstruct the secret, and all other ``unauthorized'' sets learn nothing about $s$. The collection of authorized/unauthorized sets can be captured by a monotone function $f:\{0,1\}^n\rightarrow \{0,1\}$. In this paper, we focus on monotone functions that all their min-terms are sets of size $a$, and on their duals -- monotone functions whose max-terms are of size $b$. We refer to these classes as $(a,n)$-upslices and $(b,n)$-downslices, and note that these natural families correspond to monotone $a$-regular DNFs and monotone $(n-b)$-regular CNFs. We derive the following results. 1. (General downslices) Every downslice can be realized with total share size of $1.5^{n+o(n)}<2^{0.585 n}$. Since every monotone function can be cheaply decomposed into $n$ downslices, we obtain a similar result for general access structures improving the previously known $2^{0.637n+o(n)}$ complexity of Applebaum, Beimel, Nir and Peter (STOC 2020). We also achieve a minor improvement in the exponent of linear secrets sharing schemes. 2. (Random mixture of upslices) Following Beimel and Farras (TCC 2020) who studied the complexity of random DNFs with constant-size terms, we consider the following general distribution $F$ over monotone DNFs: For each width value $a\in [n]$, uniformly sample $k_a$ monotone terms of size $a$, where $k=(k_1,\ldots,k_n)$ is an arbitrary vector of non-negative integers. We show that, except with exponentially small probability, $F$ can be realized with share size of $2^{0.5 n+o(n)}$ and can be linearly realized with an exponent strictly smaller than $2/3$. Our proof also provides a candidate distribution for ``exponentially-hard'' access structure. We use our results to explore connections between several seemingly unrelated questions about the complexity of secret-sharing schemes such as worst-case vs. average-case, linear vs. non-linear and primal vs. dual access structures. We prove that, in at least one of these settings, there is a significant gap in secret-sharing complexity.

The algebraic structures that are non-commutative and non-associative known as entropic groupoids that satisfy the "Palintropic" property i.e., $x^{\mathbf{A} \mathbf{B}} = (x^{\mathbf{A}})^{\mathbf{B}} = (x^{\mathbf{B}})^{\mathbf{A}} = x^{\mathbf{B} \mathbf{A}}$ were proposed by Etherington in '40s from the 20th century. Those relations are exactly the Diffie-Hellman key exchange protocol relations used with groups. The arithmetic for non-associative power indices known as Logarithmetic was also proposed by Etherington and later developed by others in the 50s-70s. However, as far as we know, no one has ever proposed a succinct notation for exponentially large non-associative power indices that will have the property of fast exponentiation similarly as the fast exponentiation is achieved with ordinary arithmetic via the consecutive rising to the powers of two. In this paper, we define ringoid algebraic structures $(G, \boxplus, *)$ where $(G, \boxplus) $ is an Abelian group and $(G, *)$ is a non-commutative and non-associative groupoid with an entropic and palintropic subgroupoid which is a quasigroup, and we name those structures as Entropoids. We further define succinct notation for non-associative bracketing patterns and propose algorithms for fast exponentiation with those patterns. Next, by an analogy with the developed cryptographic theory of discrete logarithm problems, we define several hard problems in Entropoid based cryptography, such as Discrete Entropoid Logarithm Problem (DELP), Computational Entropoid Diffie-Hellman problem (CEDHP), and Decisional Entropoid Diffie-Hellman Problem (DEDHP). We post a conjecture that DEDHP is hard in Sylow $q$-subquasigroups. Next, we instantiate an entropoid Diffie-Hellman key exchange protocol. Due to the non-commutativity and non-associativity, the entropoid based cryptographic primitives are supposed to be resistant to quantum algorithms. At the same time, due to the proposed succinct notation for the power indices, the communication overhead in the entropoid based Diffie-Hellman key exchange is very low: for 128 bits of security, 64 bytes in total are communicated in both directions, and for 256 bits of security, 128 bytes in total are communicated in both directions. Our final contribution is in proposing two entropoid based digital signature schemes. The schemes are constructed with the Fiat-Shamir transformation of an identification scheme which security relies on a new hardness assumption: computing roots in finite entropoids is hard. If this assumption withstands the time's test, the first proposed signature scheme has excellent properties: for the classical security levels between 128 and 256 bits, the public and private key sizes are between 32 and 64, and the signature sizes are between 64 and 128 bytes. The second signature scheme reduces the finding of the roots in finite entropoids to computing discrete entropoid logarithms. In our opinion, this is a safer but more conservative design, and it pays the price in doubling the key sizes and the signature sizes. We give a proof-of-concept implementation in SageMath 9.2 for all proposed algorithms and schemes in an appendix.

Modern distributed systems involve interactions between principals with limited trust, so cryptographic mechanisms are needed to protect confidentiality and integrity. At the same time, most developers lack the training to securely employ cryptography. We present Viaduct, a compiler that transforms high-level programs into secure, efficient distributed realizations. Viaduct's source language allows developers to declaratively specify security policies by annotating their programs with information flow labels. The compiler uses these labels to synthesize distributed programs that use cryptography efficiently while still defending the source-level security policy. The Viaduct approach is general, and can be easily extended with new security mechanisms. Our implementation of the Viaduct compiler comes with an extensible runtime system that includes plug-in support for multiparty computation, commitments, and zero-knowledge proofs. We have evaluated the system on a set of benchmarks, and the results indicate that our approach is feasible and can use cryptography in efficient, nontrivial ways.

We analyze the security of the TLS 1.3 key establishment protocol, as specified at the end of its rigorous standardization process. We define a core key-schedule and reduce its security to concrete assumptions against an adversary that controls client and server configurations and adaptively chooses some of their keys. Our model supports all key derivations featured in the standard, including its negotiated modes and algorithms that combine an optional Diffie-Hellman exchange for forward secrecy with optional pre-shared keys supplied by the application or recursively established in prior sessions. We show that the output keys are secure as soon as any of their input key materials are. Our compositional, code-based proof makes use of state separation to yield concrete reductions despite the complexity of the key schedule. We also discuss (late) changes to the standard that would improve its robustness and simplify its analysis.

In this paper I propose a new key agreement scheme applying a well-known property of powers to a particular couple of elements of the cyclic group generated by a primitive root of a prime p. The model, whose security relies on the difficulty of computing discrete logarithms when p is a “safe prime”, consists of a five-step process providing explicit key authentication.

In a recent eprint, Rahman and Shpilrain proposed a Diffie-Hellman style key exchange based on a semidirect product of $n × n$-matrices over a finite field. We show that, using public information, an adversary can recover the agreed upon secret key by solving a system of $n^2$ linear equations.

This paper proposes the first cache timing side-channel attack on one of Apple’s mobile devices. Utilizing a recent, permanent exploit named checkm8, we reverse-engineered Apple’s BootROM and created a powerful toolkit for running arbitrary hardware security experiments on Apple’s in-house designed ARM systems-on-a-chip (SoC). Using this toolkit, we then implement an access-driven cache timing attack (in the style of PRIME+PROBE) as a proof-of-concept illustrator. The advanced hardware control enabled by our toolkit allowed us to reverse-engineer key microarchitectural details of the Apple A10 Fusion’s memory hierarchy. We find that the SoC employs a randomized cache-line replacement policy as well as a hardware-based L1 prefetcher. We propose statistical innovations which specifically account for these hardware structures and thus further the state-of-the-art in cache timing attacks. We find that our access-driven attack, at best, can reduce the security of OpenSSL AES-128 by 50 more bits than a straightforward adaptation of PRIME+PROBE, while requiring only half as many side channel measurement traces.

Recent publications consider side-channel attacks against the key schedule of the Data Encryption Standard (DES). These publications identify a leakage model depending on the XOR of register values in the DES key schedule. Building on this leakage model, we first revisit a discrete model which assumes that the Hamming distances between subsequent round keys leak without error. We analyze this model formally and provide theoretical explanations for observations made in previous works. Next we examine a continuous model which considers more points of interest and also takes noise into account. The model gives rise to an evaluation function for key candidates and an associated notion of key ranking. We develop an algorithm for enumerating key candidates up to a desired rank which is based on the Fincke–Pohst lattice point enumeration algorithm. We derive information-theoretic bounds and estimates for the remaining entropy and compare them with our experimental results. We apply our attack to side-channel measurements of a security controler. Using our enumeration algorithm we are able to significantly improve the results reported previously for the same measurement data.

Post-quantum cryptography has known a Cambrian explosion in the last decade. What started as a very theoretical and mathematical area has now evolved into a sprawling research field, complete with side-channel resistant embedded implementations, large scale deployment tests and standardization efforts. This study systematizes the current state of knowledge on post-quantum cryptography. Compared to existing studies, we adopt a transversal point of view and center our study around three areas: (i) paradigms, (ii) implementation, (iii) deployment. Our point of view allows to cast almost all classical and post-quantum schemes into just a few paradigms. We highlight trends, common methodologies, and pitfalls to look for and recurrent challenges.

Masking schemes are among the most popular countermeasures against Side-Channel Analysis (SCA) attacks. Realization of masked implementations on hardware faces several difficulties including dealing with glitches. Threshold Implementation (TI) is known as the first strategy with provable security in presence of glitches. In addition to the desired security order d, TI defines the minimum number of shares to also depend on the algebraic degree of the target function. This may lead to unaffordable implementation costs for higher orders. For example, at least five shares are required to protect the smallest nonlinear function against second-order attacks. By cutting such a dependency, the successor schemes are able to achieve the same security level by just $d+1$ shares, at the cost of high demand for fresh randomness, particularly at higher orders. In this work, we provide a methodology to realize the second-order glitch-extended probing-secure implementation of a group of quadratic functions with three shares and no fresh randomness. This allows us to construct second-order secure implementations of several cryptographic primitives with very limited number of fresh masks, including Keccak, SKINNY, Midori, PRESENT, and PRINCE.

In recent years, smartphones have become an increasingly important storage facility for personal sensitive data ranging from photos and credentials up to financial and medical records like credit cards and person’s diseases. Trivially, it is critical to secure this information and only provide access to the genuine and authenticated user. Smartphone vendors have already taken exceptional care to protect user data by the means of various software and hardware security features like code signing, authenticated boot chain, dedicated co-processor and integrated cryptographic engines with hardware fused keys. Despite these obstacles, adversaries have successfully broken through various software protections in the past, leaving only the hardware as the last standing barrier between the attacker and user data. In this work, we build upon existing software vulnerabilities and break through the final barrier by performing the first publicly reported physical Side-Channel Analysis (SCA) attack on an iPhone in order to extract the hardware-fused device-specific User Identifier (UID) key. This key – once at hand – allows the adversary to perform an offline brute-force attack on the user passcode employing an optimized and scalable implementation of the Key Derivation Function (KDF) on a Graphics Processing Unit (GPU) cluster. Once the passcode is revealed, the adversary has full access to all user data stored on the device and possibly in the cloud. As the software exploit enables acquisition and processing of hundreds of millions of traces, this work further shows that an attacker being able to query arbitrary many chosen-data encryption/decryption requests is a realistic model, even for compact systems with advanced software protections, and emphasizes the need for assessing resilience against SCA for a very high number of traces.

Complex machine learning (ML) inference algorithms like recurrent neural networks (RNNs) use standard functions from math libraries like exponentiation, sigmoid, tanh, and reciprocal of square root. Although prior work on secure 2-party inference provides specialized protocols for convolutional neural networks (CNNs), existing secure implementations of these math operators rely on generic 2-party computation (2PC) protocols that suffer from high communication. We provide new specialized 2PC protocols for math functions that crucially rely on lookup-tables and mixed-bitwidths to address this performance overhead; our protocols for math functions communicate up to 423x less data than prior work. Some of the mixed bitwidth operations used by our math implementations are (zero and signed) extensions, different forms of truncations, multiplication of operands of mixed-bitwidths, and digit decomposition (a generalization of bit decomposition to larger digits). For each of these primitive operations, we construct specialized 2PC protocols that are more communication efficient than generic 2PC, and can be of independent interest. Furthermore, our math implementations are numerically precise, which ensures that the secure implementations preserve model accuracy of cleartext. We build on top of our novel protocols to build SIRNN, a library for end-to-end secure 2-party DNN inference, that provides the first secure implementations of an RNN operating on time series sensor data, an RNN operating on speech data, and a state-of-the-art ML architecture that combines CNNs and RNNs for identifying all heads present in images. Our evaluation shows that SIRNN achieves up to three orders of magnitude of performance improvement when compared to inference of these models using an existing state-of-the-art 2PC framework.

In the current crypto paradigm a single secret key transforms a plaintext into a ciphertext and vice versa, or at most a different key is doing the reverse action. Attackers exposed to the ciphertext are hammering it to extract that single key and the plaintext. This paradigm may be challenged with an alternate setup: using a particular crypto algorithm, there is an infinite number of keys that are perfectly interchangeable -- each has the same effect. Nonetheless they are hard to find. And unlike regular cryptography, the best an attacker can hope for using this new "Family Key Cryptography”, is to identify the entire infinitely large family of keys, not the actual key that executed the cryptographic action. This very fact is a cornerstone for a host of applications, mostly still to be unfolded. E.g.: (1) Community Cryptography, where each member has a different key, but the community will encrypt and decrypt as if sharing the same key; (2) 'Forever Key Cryptography': crashing the Shannon's limit, the Forever Key strategy will allow a single finite key to last indefinitely. The shared secret key will be used to derive a succession of operating keys, which will be replaced before they are being compromised. Since any cryptanalysis of usage will end up with an infinite list of key candidates, there will be equal number of candidates for the shared "Forever Key", and thus there will be no erosion in the secrecy of the Forever Key regardless of its level of use. The very idea of infinite number of interchangeable keys is so fundamentally different, that most of its applications are still unknown.

Proofs of partial knowledge demonstrate the possession of certain subsets of witnesses for a given collection of statements $x_1,\dots,x_n$. Cramer, Damgård, and Schoenmakers (CDS), built proofs of partial knowledge, given ``atomic'' protocols for individual statements $x_i$, by having the prover randomly secret share the verifier's challenge and using the shares as challenges for the atomic protocols. This simple and highly-influential transformation has been used in numerous applications, ranging from anonymous credentials to ring signatures. We consider what happens if, instead of using the shares directly as challenges, the prover first hashes them. We show that this elementary enhancement can result in significant benefits: \begin{itemize} \item the proof contains a {\em single} atomic transcript per statement $x_i$, \item it suffices that the atomic protocols are $\kappa$-special sound for $\kappa \geq 2$, \item when compiled to a signature scheme using the Fiat-Shamir heuristic, its unforgeability can be proved in the {\em non-programmable} random oracle model. \end{itemize} None of the above features is satisfied by the CDS transformation.

Design-hiding techniques are a central piece of academic and industrial efforts to protect electronic circuits from being reverse-engineered. However, these techniques have lacked a principled foundation to guide their design and security evaluation, leading to a long line of broken schemes. In this paper, we begin to lay this missing foundation. We establish formal syntax for design-hiding (DH) schemes, a cryptographic primitive that encompasses all known design-stage methods to hide the circuit that is handed to a (potentially adversarial) foundry for fabrication. We give two security notions for this primitive: function recovery (FR) and key recovery (KR). The former is the ostensible goal of design-hiding methods to prevent reverse-engineering the functionality of the circuit, but most prior work has focused on the latter. We then present the first provably (FR,KR)-secure DH scheme, $\mathrm{OneChaff}_{\mathrm{hd}}$. A side-benefit of our security proof is a framework for analyzing a broad class of new DH schemes. We finish by unpacking our main security result, to provide parameter-setting guidance.

The lattice reduction attack on (EC)DSA (and other Schnorr-like signature schemes) with partially known nonces, originally due to Howgrave-Graham and Smart, has been at the core of many concrete cryptanalytic works, side-channel based or otherwise, in the past 20 years. The attack itself has seen limited development, however: improved analyses have been carried out, and the use of stronger lattice reduction algorithms has pushed the range of practically vulnerable parameters further, but the lattice construction based on the signatures and known nonce bits remain the same. In this paper, we propose a new idea to improve the attack based on the same data in exchange for additional computation: carry out an exhaustive search on some bits of the secret key. This turns the problem from a single bounded distance decoding (BDD) instance in a certain lattice to multiple BDD instances in a fixed lattice of larger volume but with the same bound (making the BDD problem substantially easier). Furthermore, the fact that the lattice is fixed lets us use batch/preprocessing variants of BDD solvers that are far more efficient than repeated lattice reductions on non-preprocessed lattices of the same size. As a result, our analysis suggests that our technique is competitive or outperforms the state of the art for parameter ranges corresponding to the limit of what is achievable using lattice attacks so far (around 2-bit leakage on 160-bit groups, or 3-bit leakage on 256-bit groups). We also show that variants of this idea can also be applied to bits of the nonces (leading to a similar improvement) or to filtering signature data (leading to a data-time trade-off for the lattice attack). Finally, we use our technique to obtain an improved exploitation of the TPM--FAIL dataset similar to what was achieved in the Minerva attack.

We introduce a new technique called `Measure-Rewind-Measure' (MRM) to achieve tighter security proofs in the quantum random oracle model (QROM). We first apply our MRM technique to derive a new security proof for a variant of the `double-sided' quantum One-Way to Hiding Lemma (O2H) of Bindel et al. [TCC 2019] which, for the first time, avoids the square-root advantage loss in the security proof. In particular, it bypasses a previous `impossibility result' of Jiang, Zhang and Ma [IACR eprint 2019]. We then apply our new O2H Lemma to give a new tighter security proof for the Fujisaki-Okamoto transform for constructing a strong (INDCCA) Key Encapsulation Mechanism (KEM) from a weak (INDCPA) public-key encryption scheme satisfying a mild injectivity assumption.

Transparency logs are designed to help users audit untrusted servers. For example, Certificate Transparency (CT) enables users to detect when a compromised Certificate Authority (CA) has issued a fake certificate. Practical state-of-the-art transparency log systems, however, suffer from high monitoring costs when used for low-latency applications. To reduce monitoring costs, such systems often require users to wait an hour or more for their updates to take effect, inhibiting low-latency applications. We propose $\text{Merkle}^2$, a transparency log system that supports both efficient monitoring and low-latency updates. To achieve this goal, we construct a new multi-dimensional, authenticated data structure that nests two types of Merkle trees, hence the name of our system, $\text{Merkle}^2$. Using this data structure, we then design a transparency log system with efficient monitoring and lookup protocols that enables low-latency updates. In particular, all the operations in $\text{Merkle}^2$ are independent of update intervals and are (poly)logarithmic to the number of entries in the log. $\text{Merkle}^2$ not only has excellent asymptotics when compared to prior work, but is also efficient in practice. Our evaluation shows that $\text{Merkle}^2$ propagates updates in as little as 1 second and can support 100× more users than state-of-the-art transparency logs.

Cryptanalysis based on deep learning has become a hotspot in the international cryptography community since it was proposed. The key point of differential cryptanalysis based on deep learning is to find a neural differential distinguisher with longer rounds or higher probability. Therefore it is important to research how to improve the accuracy and the rounds of neural differential distinguisher. In this paper, we design SAT-based algorithms to find a good input difference so that the accuracy of the neural distinguisher can be improved as high as possible. As applications, we search and obtain the neural differential distinguishers of 9-round SIMON32/64, 10-round SIMON48/96 and 11-round SIMON64/128. For SIMON48/96, we choose $(0x0,0x100000)$ as the input difference and train 9-round and 10-round neural distinguishers of SIMON48/96. In addition, with the automatic search based on SAT, we extend the neural 9-round, 10-round distinguishers to 11-round, 12-round distinguishers by prepending the optimal 2-round differential transition $(0x400000,0x100001) \xrightarrow{2^{-4}}\left( 0x0,0x100000 \right)$. Based on the 11-round and 12-round neural distinguisher, we complete a 14-round key recovery attack of SIMON48/96. Our attack takes about 1550s to recover the final subkey. Its average time complexity is no more than $2^{22.21}$ 14-round encryption of SIMON48/96, and the data complexity is about $2^{12.8}$. Similar to 14-round key recovery attack, we perform 13-round key recovery attack for SIMON32/64 with input difference $(0x0,0x80)$ with a success rate of more than 90$\%$. It takes about 23s to complete an attack with the data complexity no more than $2^{12.5}$ and the time complexity no more than $2^{16.4}$. It is worth mentioning that the attacks are practical for 13-round SIMON32/64 and 14-round SIMON48/96.

Sharding technology is becoming a promising candidate to address the scalability issues in blockchain. The key concept behind sharding technology is to partition the network status into multiple distinct smaller committees, each of which handles a disjoint set of transactions to leverage its capability of parallel processing. However, when introducing sharding technology to blockchain, several key challenges need to be resolved, such as security and heterogeneity among the participating nodes. This paper introduces RepShard, a reputation-based blockchain sharding scheme that aims to achieve both linearly scaling efficiency and system security simultaneously. RepShard adopts a two-layer hierarchical chain structure, consisting of a reputation chain and independent transaction chains. Each transaction chain is maintained within its shard to record transactions, while the reputation chain is maintained by all shards to update the reputation score of each participating node. We leverage a novel reputation scheme to record each participating node's integrated and valid contribution to the system, in which we consider the heterogeneity of participating nodes (e.g., computational resources). The reputation score used in sharding and leader election processes maintains the balance and security of each shard. RepShard relies on verifiable relay transactions for cross-shard transactions to ensure consistency between distinct shards. By integrating reputation into the sharding protocol, our scheme can offer both scalability and security at the same time.

Reliable and verifiable public randomness is not only an essential building block in various cryptographic primitives, but also is a critical component in many distributed and decentralized protocols, e.g., blockchain sharding. A 'good' randomness generator should preserve several distinctive properties, such as public-verifiability, bias-resistance, unpredictability, and availability. However, it is a challenging task to generate such good randomness. For instance, a dishonest party may behave deceptively to bias the final randomness, which is toward his preferences. And this challenge is more serious in a distributed and decentralized system. Blockchain technology provides several promising features, such as decentralization, immutability, and trustworthiness. Due to extremely high overheads on both communication and computation, most existing solutions face an additional scalability issue. We propose a sharding-based scheme, RandChain, to obtain a practical scalable distributed and decentralized randomness attested by blockchain in large-scale applications. In RandChain, we eliminate the use of computation-heavy cryptographic operations, e.g., Publicly Verifiable Secret Sharing (PVSS), in prevalent approaches. We build a sub-routine, RandGene, which utilizes a commit-then-reveal strategy to establish local randomness, enforced by efficient Verifiable Random Function (VRF). RandGene generates the randomness based on statistical approaches, instead of cryptographic operations, to eliminate computational operations. RandChain maintains a two-layer hierarchical chain structure via a sharding scheme. The first level chain is maintained by RandGene within each shard to provide a verifiable randomness source by blockchain. The second level chain uses the randomnesses from each shard to build a randomness chain.

Process industries cover a wide set of industries, in which the processes are controlled by a combination of Distributed Control Systems (DCSs) and Programmable Logic Controllers (PLCs). These control systems utilize various measurements such as pressure, flow, and temperature to determine the state of the process and then use field devices such as valves and other actuating devices to manipulate the process. Since there are many different types of field devices and since each device is calibrated to its specific installation, when monitoring devices, it is important to be able to transfer not only the device measurement and diagnostics, but also characteristics about the device and the process in which it is installed. The current monitoring architecture however creates challenges for continuous monitoring and analysis of diagnostic data. In this paper, we present the design of an Industrial IoT system for supporting large-scale and continuous device condition monitoring and analysis in process control systems. The system design seamlessly integrates existing infrastructure (e.g., HART and WirelessHART networks, and DeltaV DCS) and newly developed hardware/software components (e.g., one-way data diode, IoT cellular architecture) together for control network data collection and streaming of the collected device diagnostic parameters to a private cloud to perform streaming data analytics designed for fault identification and prediction. A prototype system has been developed and supported by Emerson Automation Solutions and deployed in the field for design validation and long-term performance evaluation. To the best of our knowledge, this is the first ever publicly reported effort on IoT system design for process automation applications. The design can be readily extended for condition monitoring and analysis of many other industrial facilities and processes.

We study the memory-tightness of security reductions in public-key cryptography, focusing in particular on Hashed ElGamal. We prove that any straightline (i.e., without rewinding) black-box reduction needs memory which grows linearly with the number of queries of the adversary it has access to, as long as this reduction treats the underlying group generically. This makes progress towards proving a conjecture by Auerbach et al. (CRYPTO 2017), and is also the first lower bound on memory-tightness for a concrete cryptographic scheme (as opposed to generalized reductions across security notions). Our proof relies on compression arguments in the generic group model.

Cuckoo Hashing is a dictionary data structure in which a data item is stored in a small constant number of possible locations. It has the appealing property that a data structure of size $2m$ can hold up to $n = \frac{1}{d} m$ elements for any constant $d > 1$; i.e. the data structure size is a small constant times larger than the combined size of all inserted data elements. However, the probability that a cuckoo hash table build fails is $\Theta(\frac{1}{m})$. This is too high for many applications, especially cryptographic applications and Oblivious RAM. An alternative proposal introduced by Kirsch et al. is to store elements which cannot be placed in the main table in a ``stash'', reducing the failure probability to $\mathcal{O}(m^{-(s+1)})$ where $s$ is any constant stash size. However, this analysis did not apply to super-constant $s$, and the bounds are asymptotic rather than explicit. Further works improved upon this, but either were not explicit, not closed-form or had limitations on the stash size. In this paper we present the first explicit, closed-form bounds for the failure probability of cuckoo hashing with a stash for general stash sizes.

We investigate the efficiency of a (module-)LWR-based PRF built using the GGM design. Our construction enjoys the security proof of the GGM construction and the (module-)LWR hardness assumption which is believed to be post-quantum secure. We propose GGM-based PRFs from PRGs with larger ratio of output to input. This reduces the number of PRG invocations which improves the PRF performance and reduces the security loss in the GGM security reduction. Our construction bridges the gap between practical and provably secure PRFs. We demonstrate the efficiency of our construction by providing parameters achieving at least 128-bit post-quantum security and optimized implementations utilizing AVX2 vector instructions. Our PRF requires, on average, only 39.4 cycles per output byte.

Verifiable Secret-Sharing (VSS) is a fundamental primitive in secure distributed computing. It is used as an important building block in several distributed computing tasks, such as Byzantine agreement and secure multi-party computation. VSS has been widely studied in various dimensions over the last three decades and several important results have been achieved related to the fault-tolerance, round-complexity and communication efficiency of VSS schemes. In this article, we consider VSS schemes with perfect security, tolerating computationally unbounded adversaries. We comprehensively survey the existing perfectly-secure VSS schemes in three different settings, namely synchronous, asynchronous and hybrid communication settings and provide the full details of each of the existing schemes in these settings. The aim of this survey is to provide a clear knowledge and foundation to researchers who are interested in knowing and extending the state-of-the-art perfectly-secure VSS schemes.

In this paper, we propose a new public-key cryptosystem based on a quasigroup with the special property of "restricted-commutativity". We argue its security empirically and present constructions for key exchange and digital signature. To the best of our knowledge, our primitive and construction have no known polynomial-time attack from quantum computers yet. We note that quasigroups with such property had been independently proposed for use in public-key cryptography and termed "entropic" quasigroups or "entropoids" by D.Gligoroski.

Proxy signature is a kind of digital signature, in which a user called original signer can delegate his signing rights to another user called proxy signer and the proxy signer can sign messages on behalf of the original signer. Certificateless proxy signature (CLPS) means proxy signature in the certificateless setting in which there exists neither the certificate management issue as in traditional PKI nor private key escrow problem as in Identity-based setting. Up to now, a number of CLPS schemes have been proposed, but some of those schemes either lack formal security analysis or turn out to be insecure and others are less efficient because of using costly operations including bilinear pairings and map-to-point hashing on elliptic curve groups. In this paper, we formalize the definition and security model of CLPS schemes. We then construct a pairing-free CLPS scheme from the standard ECDSA and prove its security in the random oracle model under the discrete semi-logarithm problem’s hardness assumption as in the provable security result of ECDSA.

Newly designed block ciphers are required to show resistance against known attacks, e.g., linear and differential cryptanalysis. Two widely used methods to do this are to employ an automated search tool (e.g., MILP, SAT/SMT, etc.) and/or provide a wide-trail argument. In both cases, the core of the argument consists of bounding the transition probability of the statistical property over an isolated non-linear operation, then multiply it by the number of such operations (e.g., number of active S-boxes). In this paper we show that in the case of linear cryptanalysis such strategies can sometimes lead to a gap between the claimed security and the actual one, and that this gap can be exploited by a malicious designer. We introduce RooD, a block cipher with a carefully crafted backdoor. By using the means of the wide-trail strategy, we argue the resistance of the cipher against linear and differential cryptanalysis. However, the cipher has a key-dependent iterative linear approximation over 12 rounds, holding with probability 1. This property is based on the linear hull effect although any linear trail underlying the linear hull has probability smaller than 1.

A software watermarking scheme enables one to embed a ``mark " (i.e., a message) into a program without significantly changing the functionality. Moreover, any removal of the watermark from a marked program is futile without significantly changing the functionality of the program. At present, the construction of software watermarking mainly focuses on watermarking pseudorandom functions (PRFs), watermarking public key encryption, watermarking signature, etc. In this work, we construct new watermarking PRFs from lattices which provide collusion resistant and public extraction. Our schemes are the first to simultaneously achieve all of these properties. The key to the success of our new constructions lies in two parts. First, we relax the notion of functionality-preserving. In general, we require that a marked program (approximately) preserve the input/output behavior of the original program. For our scheme, the output circuit is divided into two parts, one for PRF output and the other for auxiliary functions. As a result, we only require the PRF output circuit to satisfy functionality-preserving. Second, the marking method we use is essentially different form the previous scheme. In general, the mark program will change the output of some special point. The extraction algorithm determines whether the circuit is marked by determining whether the output of some special points has been changed. In our schemes, we use the constrained signature to mark a PRF circuit.

This paper presents two modifications for Loidreau’s code-based cryptosystem. Loidreau’s cryptosystem is a rank metric code-based cryptosystem constructed by using Gabidulin codes in the McEliece setting. Recently a polynomial-time key recovery attack was proposed to break Loidreau’s cryptosystem in some cases. To prevent this attack, we propose the use of subcodes to disguise the secret codes in Modification I. In Modification II, we choose a random matrix of low column rank over F q to mix with the secret matrix. According to our analysis, these two modifications can both resist the existing structural attacks. Additionally, we adopt the systematic generator matrix of the public code to make a reduction in the public-key size.

Grain-128AEAD is one of the second-round candidates of the NIST lightweight cryptography standardization process. There is an existing body of third-party analysis on the earlier versions of the Grain family that provide insights on the security of Grain-128AEAD. Different from the earlier versions, Grain-128AEAD reintroduces the key into the internal state during the initialization. The designers claim that internal state recovery no longer results in key recovery, due to this change. In this paper, we analyze this claim under different scenarios.

Efficient shuffle arguments are essential in mixnet-based e-voting solutions. Terelius and Wikström (TW) proposed a 5-round shuffle argument based on unique factorization in polynomial rings. Their argument is available as the Verificatum software solution for real-world developers, and has been used in real-world elections. It is also the fastest non-patented shuffle argument. We will use the same basic idea as TW but significantly optimize their approach. We generalize the TW characterization of permutation matrices; this enables us to reduce the communication without adding too much to the computation. We make the TW shuffle argument computationally more efficient by using Groth's coefficient-product argument (JOC, 2010). Additionally, we use batching techniques. The resulting shuffle argument is the fastest known $\leq 5$-message shuffle argument, and, depending on the implementation, can be faster than Groth's argument (the fastest 7-message shuffle argument).

Zero-knowledge proofs allow a prover to convince a verifier of the veracity of a statement without revealing any other information. An interesting class of zero-knowledge protocols are those following the MPC-in-the-head paradigm (Ishai et al., STOC ’07) which use secure multiparty computation (MPC) protocols as the basis. Efficient instances of this paradigm have emerged as an active research topic in the last years, starting with ZKBoo (Giacomelli et al., USENIX ’16). Zero-knowledge protocols are a vital building block in the design of privacy-preserving technologies as well as cryptographic primitives like digital signature schemes that provide post-quantum security. This work investigates the security of zero-knowledge protocols following the MPC-in-the-head paradigm. We provide the first machine-checked security proof of such a protocol on the example of ZKBoo. Our proofs are checked in the EasyCrypt proof assistant. To enable a modular security proof, we develop a new security notion for the MPC protocols used in MPC-in-the-head zero-knowledge protocols. This allows us to recast existing security proofs in a black-box fashion which we believe to be of independent interest.

An algebraic differential fault attack (ADFA) is an attack in which an attacker combines a differential fault attack and an algebraic technique to break a targeted cipher. In this paper, we present three attacks using three different algebraic techniques combined with a differential fault attack in the bit-flip fault model to break the SIMON block cipher. First, we introduce a new analytic method that is based on a differential trail between the correct and faulty ciphertexts. This method is able to recover the entire master key of any member of the SIMON family by injecting faults into a single round of the cipher. In our second attack, we present a simplified Grobner basis algorithm to solve the faulty system. We show that this method could totally break SIMON ciphers with only 3 to 5 faults injected. Our third attack combines a fault attack with a modern SAT solver. By guessing some key bits and with only a single fault injected at the round T - 6, where T is the number of rounds of a SIMON cipher, this combined attack could manage to recover a master key of the cipher. For the last two attacks, we perform experiments to demonstrate the effectiveness of our attacks. These experiments are implemented on personal computers and run at very reasonable timing

Anonymous routing is one of the most fundamental online privacy problems and has been studied extensively for decades. Almost all known approaches for anonymous routing (e.g., mix-nets, DC-nets, and others) rely on multiple servers or routers to engage in some {\it interactive} protocol; and anonymity is guaranteed in the {\it threshold} model, i.e., if one or more of the servers/routers behave honestly. Departing from all prior approaches, we propose a novel {\it non-interactive} abstraction called a Non-Interactive Anonymous Router (NIAR), which works even with a {\it single untrusted router}. In a NIAR scheme, suppose that $n$ senders each want to talk to a distinct receiver. A one-time trusted setup is performed such that each sender obtains a sending key, each receiver obtains a receiving key, and the router receives a {\it token} that ``encrypts'' the permutation mapping the senders to receivers. In every time step, each sender can encrypt its message using its sender key, and the router can use its token to convert the $n$ ciphertexts received from the senders to $n$ {\it transformed ciphertexts}. Each transformed ciphertext is delivered to the corresponding receiver, and the receiver can decrypt the message using its receiver key. Imprecisely speaking, security requires that the untrusted router, even when colluding with a subset of corrupt senders and/or receivers, should not be able to compromise the privacy of honest parties, including who is talking to who, and the message contents. We show how to construct a communication-efficient NIAR scheme with provable security guarantees based on the standard Decisional Linear assumption in suitable bilinear groups. We show that a compelling application of NIAR is to realize a Non-Interactive Anonymous Shuffler (NIAS), where an untrusted server or data analyst can only decrypt a permuted version of the messages coming from $n$ senders where the permutation is hidden. NIAS can be adopted to construct privacy-preserving surveys, differentially private protocols in the shuffle model, and pseudonymous bulletin boards. Besides this main result, we also describe a variant that achieves fault tolerance when a subset of the senders may crash. Finally, we further explore a paranoid notion of security called full insider protection, and show that if we additionally assume sub-exponentially secure Indistinguishability Obfuscation and as sub-exponentially secure one-way functions, one can construct a NIAR scheme with paranoid security.

The random probing model is a leakage model in which each wire of a circuit leaks with a given probability $p$. This model enjoys practical relevance thanks to a reduction to the noisy leakage model, which is admitted as the right formalization for power and electromagnetic side-channel attacks. In addition, the random probing model is much more convenient than the noisy leakage model to prove the security of masking schemes. In a recent work, Ananth, Ishai and Sahai (CRYPTO 2018) introduce a nice expansion strategy to construct random probing secure circuits. Their construction tolerates a leakage probability of $2^{-26}$, which is the first quantified achievable leakage probability in the random probing model. In a follow-up work, Belaïd, Coron, Prouff, Rivain and Taleb (CRYPTO 2020) generalize their idea and put forward a complete and practical framework to generate random probing secure circuits. The so-called expanding compiler can bootstrap simple base gadgets as long as they satisfy a new security notion called random probing expandability (RPE). They further provide an instantiation of the framework which tolerates a $2^{-8}$ leakage probability in complexity $\mathcal{O}(\kappa^{7.5})$ where $\kappa$ denotes the security parameter. In this paper, we provide an in-depth analysis of the RPE security notion. We exhibit the first upper bounds for the main parameter of a RPE gadget, which is known as the amplification order. We further show that the RPE notion can be made tighter and we exhibit strong connections between RPE and the strong non-interference (SNI) composition notion. We then introduce the first generic constructions of gadgets achieving RPE for any number of shares and with nearly optimal amplification orders and provide an asymptotic analysis of such constructions. Last but not least, we introduce new concrete constructions of small gadgets achieving maximal amplification orders. This allows us to obtain much more efficient instantiations of the expanding compiler: we obtain a complexity of $\mathcal{O}(\kappa^{3.9})$ for a slightly better leakage probability, as well as $\mathcal{O}(\kappa^{3.2})$ for a slightly lower leakage probability.

In the quantum random oracle model, the adversary may make quantum superposition queries to the random oracle. Since even a single query can potentially probe exponentially many points, classical proof techniques are hard to be applied. For example, recording the oracle queries seemed difficult. In 2018, Mark Zhandry showed that, despite the apparent difficulties, it is in fact possible to ‘record’ the quantum queries. He has defined the compressed oracle, which is indistinguishable from the quantum random oracle, and records information the adversary has gained through the oracle queries. It is a technically subtle work, which we believe to be a challenging work to grasp fully. Our aim is to obtain a mathemathically clean, simple reinterpretation of the compressed oracle technique. For each partial function, we define what we call the formation and the completion of that partial function. The completions describe what happens to the real quantum random oracle, and the formations describe what happens to the compressed oracle. We will show that the formations are 'isomorphic' to the completions, giving an alternative proof that the compressed oracle is indistinguishable from the quantum random oracle.

We present a novel protocol XORBoost for both training gradient boosted tree models and for using these models for inference in the multiparty computation (MPC) setting. Similarly to [AEV20], our protocol supports training for generically split datasets (vertical and horizontal splitting, or combination of those) while keeping all the information about the features and thresholds associated with the nodes private, thus, having only the depths and the number of the binary trees as public parameters of the model. By using optimization techniques reducing the number of oblivious permutation evaluations as well as the quicksort and real number arithmetic algorithms from the recent Manticore MPC framework [CDG+21], we obtain a scalable implementation operating under information-theoretic security model in the honest-but-curious setting with a trusted dealer. On a training dataset of 25,000 samples and 300 features in the 2-player setting, we are able to train 10 regression trees of depth 4 in less than 1.5 minutes per tree (using histograms of 128 bins).

We consider the problem of round-optimal unbounded MPC: in the first round, parties publish a message that depends only on their input. In the second round, any subset of parties can jointly and securely compute any function $f$ over their inputs in a single round of broadcast. We do not impose any a-priori bound on the number of parties nor on the size of the functions that can be computed. Our main result is a semi-malicious two-round protocol for unbounded MPC in the plain model from the hardness of the standard learning with errors (LWE) problem. Prior work in the same setting assumes the hardness of problems over bilinear maps. Thus, our protocol is the first example of unbounded MPC that is post-quantum secure. The central ingredient of our protocol is a new scheme of attribute-based secure function evaluation (AB-SFE) with public decryption. Our construction combines techniques from the realm of homomorphic commitments with delegation of lattice basis. We believe that such a scheme may find further applications in the future.

The Kannan-Fincke-Pohst lattice enumeration algorithm is the classical method for solving the shortest vector problem in lattices. It is also a fundamental tool for most lattice reduction algorithms that provide speed-length tradeoffs. As this algorithm allows efficient parallel implementations, it is likely that implementing it on modern graphics processing units (GPUs) can significantly improve performance. We provide such an implementation that is compatible with the fplll lattice reduction library [fplll16] and achieves a considerable speedup in higher lattice dimensions, compared to current, multithreaded versions. For this, we use the CUDA technology that provides an abstract language for programming GPUs. [fplll16] The FPLLL development team. “fplll, a lattice reduction library”. 2016. URL: https://github.com/fplll/fplll

Multivariate cryptography is dominated by schemes supporting various tweaks, or ``modifiers,'' designed to patch certain algebraic weaknesses they would otherwise exhibit. Typically these modifiers are linear in nature--- either requiring an extra composition with an affine map, or being evaluated by a legitimate user via an affine projection. This description applies to the minus, plus, vinegar and internal perturbation modifiers, to name a few. Though it is well-known that combinations of various modifiers can offer security against certain classes of attacks, cryptanalysts have produced ever more sophisticated attacks against various combinations of these linear modifiers. In this article, we introduce a more fundamentally nonlinear modifier, called Q, that is inspired from relinearization. The effect of the Q modifier on multivariate digital signature schemes is to maintain inversion efficiency at the cost of slightly slower verification and larger public keys, while altering the algebraic properties of the public key. Thus the Q modifier is ideal for applications of digital signature schemes requiring very fast signing and verification without key transport. As an application of this modifier, we propose new multivariate digital signature schemes with fast signing and verification that are resistant to all known attacks.

We formally prove that the C implementation of the X25519 key-exchange protocol in the TweetNaCl library is correct. We prove both that it correctly implements the protocol from Bernstein's 2006 paper, as standardized in RFC 7748, as well as the absence of undefined behavior like arithmetic overflows and array out-of-bounds errors. We also formally prove, based on the work of Bartzia and Strub, that X25519 is mathematically correct, i.e., that it correctly computes scalar multiplication on the elliptic curve Curve25519. The proofs are all computer-verified using the Coq theorem prover. To establish the link between C and Coq we use the Verified Software Toolchain (VST).

At EUROCRYPT 2021, Bao et al. proposed an automatic method for systematically exploring the configuration space of meet-in-the-middle (MITM) preimage attacks. We further extend it into a constraint-based framework for finding exploitable MITM characteristics in the context of key-recovery and collision attacks by taking the subtle peculiarities of both scenarios into account. Moreover, to perform attacks based on MITM characteristics with nonlinear constrained neutral words, which have not been seen before, we present a procedure for deriving the solution spaces of neutral words without solving the corresponding nonlinear equations or increasing the overall time complexities of the attack. We apply our method to concrete symmetric-key primitives, including SKINNY, ForkSkinny, Romulus, Saturnin, Grostl, Whirlpool, and hashing modes with AES-256. As a result, we identify the first 23-round key-recovery attack on SKINNY-$n$-$3n$ and the first 24-round key-recovery attack on ForkSkinny-$n$-$3n$ in the single-key model. Moreover, improved (pseudo) preimage or collision attacks on round-reduced Whirlpool, Grostl, and hashing modes with AES-256 are obtained. In particular, employing the new representation of the AES key schedule due to Leurent and Pernot (EUROCRYPT 2021), we identify the first preimage attack on 10-round AES-256 hashing.

Given two ciphertexts generated with a public-key encryption scheme, the problem of plaintext equality consists in determining whether the ciphertexts hold the same value. Similarly, the problem of plaintext inequality consists in deciding whether they hold a different value. Previous work has focused on building new schemes or extending existing ones to include support for plaintext equality/inequality. We propose generic and simple zero-knowledge proofs for both problems, which can be instantiated with various schemes. First, we consider the context where a prover with access to the secret key wants to convince a verifier, who has access to the ciphertexts, on the equality/inequality without revealing information about the plaintexts. We also consider the case where the prover knows the encryption’s randomness instead of the secret key. For plaintext equality, we also propose sigma protocols that lead to non-interactive zero-knowledge proofs. To prove our protocols’ security, we formalize notions related to malleability in the context of public-key encryption and provide definitions of their own interest.

We extend the prior provable related-key security analysis of (generalized) Feistel networks (Barbosa and Farshim, FSE 2014; Yu et al., Inscrypt 2020) to the setting of expanding round functions, i.e., n-bit to m-bit round functions with n < m. This includes Expanding Feistel Networks (EFNs) that purely rely on such expanding round functions, and Alternating Feistel Networks (AFNs) that alternate expanding and contracting round functions. We show that, when two independent keys $K_1,K_2$ are alternatively used in each round, (a) $2\lceil\frac{m}{n}\rceil+2$ rounds are sufficient for related-key security of EFNs, and (b) a constant number of 4 rounds are sufficient for related-key security of AFNs. Our results complete the picture of provable related-key security of GFNs, and provide additional theoretical support for the AFN-based NIST format preserving encryption standards FF1 and FF3.

Increasing privacy consciousness has popularized the use of end-to-end encryption (E2EE). In this paper, we discuss the security of SFrame, an E2EE mechanism proposed to the Internet Engineering Task Force for video/audio group communications over the Internet. Despite being a quite recent project, SFrame has been deployed in several real-world applications. The original specification of SFrame is evaluated herein to find critical issues that can cause impersonation (forgery) attacks with a practical complexity by a malicious group member. Further investigations have revealed that these issues are present in several publicly available SFrame implementations. Therefore, we provide several countermeasures against all the proposed attacks and considerations from performance and security perspectives toward their implementation.

Large semigroups and groups of transformations of finite affine space of dimension n with the option of computability of the composition of n arbitrarily chosen elements in polynomial time are described in the paper. Constructions of such families are given together with effectively computed homomorphisms between members of the family. These algebraic platforms allow us to define protocols for several generators of subsemigroup of affine Cremona semigroups with several outputs. Security of these protocols rests on the complexity of the word decomposition problem, It allows to introduce algebraic protocols expanded to cryptosystems of El Gamal type which are not a public key system. In particular symbiotic combination of these protocol of Noncommutative cryptography with one time pad encryption is given. Some of these nonclassical multivariate cryptosystems are implemented with platforms of cubical transformations.

Zero-Knowledge (ZK) Proofs for disjunctive statements have been a focus of a long line of research. Classical results such as Cramer {\em et al.} [CRYPTO'94] and Abe {\em et al.} [AC'02] design generic compilers that transform certain classes of ZK proofs into ZK proofs for disjunctive statements. However, communication complexity of the resulting protocols in these results ends up being proportional to the complexity of proving all clauses in the disjunction. More recently, Heath {\em et al.} [EC'20] exploited special properties of garbled circuits to construct efficient ZK proofs for disjunctions, where the proof size is only proportional to the length of the largest clause in the disjunction. However, these techniques do not appear to generalize beyond garbled circuits. In this work, we focus on achieving the best of both worlds. We design a \textit{general framework} that compiles a large class of {unmodified} $\Sigma$-protocols, each for an individual statement, into a new $\Sigma$-protocol that proves a disjunction of these statements. Our framework can be used both when each clause is proved with the same $\Sigma$-protocol and when different $\Sigma$-protocols are used for different clauses. The resulting $\Sigma$-protocol is concretely efficient and has communication complexity proportional to the communication required by the largest clause, with additive terms that are only logarithmic in the number of clauses. We show that our compiler can be applied to many well-known $\Sigma$-protocols, including classical protocols (\emph{e.g.} Schnorr [JC'91] and Guillou-Quisquater [CRYPTO'88]) and modern MPC-in-the-head protocols such as the recent work of Katz, Kolesnikov and Wang [CCS'18] and the Ligero protocol of Ames {\em et al.} [CCS'17]. Finally, since all of the protocols in our class can be made non-interactive in the random oracle model using the Fiat-Shamir transform, our result yields the first generic non-interactive zero-knowledge protocol for disjunctions where the communication only depends on the size of the largest clause.

We study the notion of indistinguishability obfuscation for null quantum circuits (quantum null-iO). We present a construction assuming: * The quantum hardness of learning with errors (LWE). * Post-quantum indistinguishability obfuscation for \emph{classical} circuits. * A notion of ``dual-mode'' classical verification of quantum computation (CVQC). We give evidence that our notion of dual-mode CVQC exists by proposing a scheme that is secure assuming LWE in the quantum random oracle model (QROM). Then we show how quantum null-iO enables a series of new cryptographic primitives that, prior to our work, were unknown to exist even making heuristic assumptions. Among others, we obtain the first witness encryption scheme for QMA, the first publicly verifiable non-interactive zero-knowledge (NIZK) scheme for QMA, and the first attribute-based encryption (ABE) scheme for BQP.

Modern implementations of homomorphic encryption (HE) rely heavily on polynomial arithmetic over a finite field. This is particularly true of the CKKS, BFV, and BGV HE schemes. Two of the biggest performance bottlenecks in HE primitives and applications are polynomial modular multiplication and the forward and inverse number- theoretic transform (NTT). Here, we introduce Intel® Homomorphic Encryption Acceleration Library (Intel® HEXL), a C++ library which provides optimized implementations of polynomial arithmetic for Intel® processors. Intel HEXL takes advantage of the recent Intel® Advanced Vector Extensions 512 (Intel® AVX512) instruction set to provide state- of-the-art implementations of the NTT and modular multiplication. On the forward and inverse NTT, Intel HEXL provides up to 7.2x and 6.7x speedup, respectively, over a native C++ implementation. Intel HEXL also provides up to 6.0x speedup on the element-wise vector-vector modular multiplication, and 1.7x speedup on the element-wise vector-scalar modular multiplication. Intel HEXL is available open-source at https://github.com/intel/hexl under the Apache 2.0 license and has been adopted by the Microsoft SEAL and PALISADE homomorphic encryption libraries.

We propose an efficient quantum algorithm for a specific quantum state discrimination problem. An immediate corollary of our result is a polynomial time quantum algorithm for the Dihedral Coset Problem with a smooth modulus. This, in particular, implies that $\text{poly}(n)$-unique-SVP is in BQP.

The Ring-LWE over two-to-power cyclotomic integer rings has been the hard computational problem for lattice cryptographic constructions. Its hardness and the conjectured hardness of approximating ideal SIVP for ideal lattices in two-to-power cyclotomic fields have been the fundamental open problems in lattice cryptography and the computational number theory. In our previous paper we presented a general theory of subset attack on the Ring-LWE with not only the Gaussian error distribution but also general error distributions. By the usage of our subset attack from sublattice quadruples we prove that the decision Ring-LWE (then the search version) over two-to-power cyclotomic integer rings with certain sufficiently large polynomially bounded modulus parameters when degrees d_n = 2^{n-1} going to the infinity can be solved by a polynomial (in d_n) time algorithm for wide error distributions with widths in the range of Peikert-Regev-Stephens-Davidowitz hardness reduction results in their STOC 2017 paper. Hence we also prove that approximating idealSIV Ppoly(dn) with some polynomial factors for ideal lattices in two-to-power cyclotomic fields can be solved within the quantum polynomial time. Therefore post-quantum lattice cryptographic constructions can not be based on the ”hardness” of Ring-LWE over two-to-power cyclotomic integer rings even in the classical computational model.

Digital signatures are used to verify the authenticity of digital messages, that is, to know with a high level of certainty, that a digital message was created by a known sender and was not altered in any way. This is usually achieved by using asymmetric cryptography, where a secret key is used by the signer, and the corresponding public key is used by those who wish to verify the signed data. In many use-cases, such as blockchain, the history and order of the signed data, thus the signatures themselves, are important. In blockchains specifically, the threat is forks, where one can double-spend its crypto-currency if one succeeds to publish two valid transactions on two different branches of the chain. We introduce a single private/public key pair signature scheme using verifiable random function, that binds a signer to its signature history. The scheme enforces a single ordered signatures' history using a deterministic verifiable chain of signature functions that also reveals the secret key in case of misbehaviors.

Blockchain-based cryptocurrencies offer an appealing alternative to Fiat currencies, due to their decentralized and borderless nature. However the decentralized settings make the authentication process more challenging: Standard cryptographic methods often rely on the ability of users to reliably store a (large) secret information. What happens if one user's key is lost or stolen? Blockchain systems lack of fallback mechanisms that allow one to recover from such an event, whereas the traditional banking system has developed and deploys quite effective solutions. In this work, we develop new cryptographic techniques to integrate security policies (developed in the traditional banking domain) in the blockchain settings. We propose a system where a smart contract is given the custody of the user's funds and has the ability to invoke a two-factor authentication (2FA) procedure in case of an exceptional event (e.g., a particularly large transaction or a key recovery request). To enable this, the owner of the account secret-shares the answers of some security questions among a committee of users. When the 2FA mechanism is triggered, the committee members can provide the smart contract with enough information to check whether an attempt was successful, and nothing more. We then design a protocol that securely and efficiently implements such a functionality: The protocol is round-optimal, is robust to the corruption of a subset of committee members, supports low-entropy secrets, and is concretely efficient. As a stepping stone towards the design of this protocol, we introduce a new threshold homomorphic encryption scheme for linear predicates from bilinear maps, which might be of independent interest. To substantiate the practicality of our approach, we implement the above protocol as a smart contract in Ethereum and show that it can be used today as an additional safeguard for suspicious transactions, at minimal added cost. We also implement a second scheme where the smart contract additionally requests a signature from a physical hardware token, whose verification key is registered upfront by the owner of the funds. We show how to integrate the widely used universal two-factor authentication (U2F) tokens in blockchain environments, thus enabling the deployment of our system with available hardware.

Code that is highly optimized poses a problem for program-level verification: programmers can employ various clever tricks that are non-trivial to reason about. For cryptography on low-power devices, it is nonetheless crucial that implementations be functionally correct, secure, and efficient. These are usually crafted in hand-optimized machine code that eschew conventional control flow as much as possible. We have formally verified such code: a library which implements elliptic curve cryptography on 8-bit AVR microcontrollers. The chosen implementation is the most efficient currently known for this microarchitecture. It consists of over 3000 lines of assembly instructions. Building on earlier work, we use the Why3 platform to model the code and prove verification conditions, using automated provers. We expect the approach to be re-usable and adaptable, and it allows for validation. Furthermore, an error in the original implementation was found and corrected, at the same time reducing its memory footprint. This shows that practical verification of cutting-edge code is not only possible, but can in fact add to its efficiency—and is clearly necessary.

Anonymous identity-based identification scheme in the ad-hoc group is a multi-party cryptographic primitive that allows participants to form an ad-hoc group and prove membership anonymously in such a group. In this paper, we cryptanalyze an ad-hoc anonymous identity-based identification scheme proposed by Barapatre and Rangan and show that the scheme is not secure against key-only universal impersonation attack. We note that anyone can impersonate as a valid group member to convince the honest verifier successfully, even without knowing the group secret key. Moreover, we proposed a fix on the scheme and provide a security proof for our fixed scheme. The fixed scheme we proposed fulfills the security requirements of an ad-hoc anonymous identity-based identification scheme that are correctness, soundness, and anonymity.

Data trading is an emerging business, in which data sellers provide buyers with, for example, their private datasets and get paid from buyers. In many scenarios, sellers prefer to sell pieces of data, such as statistical results derived from the dataset, rather than the entire dataset. Meanwhile, buyers wish to hide the results they retrieve. Since it is not preferable to rely on a trusted third party (TTP), we are wondering, in the absence of TTP, whether there exists a \emph{practical} mechanism satisfying the following requirements: the seller Sarah receives the payment if and only if she \emph{obliviously} returns the buyer Bob the \emph{correct} evaluation result of a function delegated by Bob on her dataset, and Bob can only derive the result for which he pays. Despite a lot of attention data trading has received, a \emph{desirable} mechanism for this scenario is still missing. This is due to the fact that general solutions are inefficient when the size of datasets is considerable or the evaluated function is complicated, and that existing efficient cryptographic techniques cannot fully capture the features of our scenario or can only address very limited computing tasks. In this paper, we propose the \emph{first desirable} mechanism that is practical and supports a wide variety of computing tasks --- evaluation of arbitrary functions that can be represented as polynomials. We introduce a new cryptographic notion called \emph{blind polynomial evaluation} and instantiate it with an explicit protocol. We further combine this notion with the blockchain paradigm to provide a \emph{practical} framework that can satisfy the requirements mentioned above.

Unclonable encryption, introduced by Broadbent and Lord (TQC'20), is an encryption scheme with the following attractive feature: given a ciphertext, an adversary cannot create two ciphertexts both of which decrypt to the same message as the original ciphertext. We revisit this notion and show the following: - Reusability: The constructions proposed by Broadbent and Lord have the disadvantage that they either guarantee one-time security (that is, the encryption key can only be used once to encrypt the message) in the plain model or they guaranteed security in the random oracle model. We construct unclonable encryption schemes with semantic security. We present two constructions from minimal cryptographic assumptions: (i) a private-key unclonable encryption scheme assuming post-quantum one-way functions and, (ii) a public-key unclonable encryption scheme assuming a post-quantum public-key encryption scheme. -Lower Bound and Generalized Construction: We revisit the information-theoretic one-time secure construction of Broadbent and Lord. The success probability of the adversary in their construction was guaranteed to be $0.85^n$, where $n$ is the length of the message. It was interesting to understand whether the ideal success probability of (negligibly close to) $0.5^n$ was unattainable. We generalize their construction to be based on a broader class of monogamy of entanglement games (while their construction was based on BB84 game). We demonstrate a simple cloning attack that succeeds with probability $0.71^n$ against a class of schemes including that of Broadbent and Lord. We also present a $0.75^n$ cloning attack exclusively against their scheme. - Implication to Copy-Protection: We show that unclonable encryption, satisfying a stronger property, called unclonable-indistinguishability (defined by Broadbent and Lord), implies copy-protection for a simple class of unlearnable functions. While we currently don't have encryption schemes satisfying this stronger property, this implication demonstrates a new path to construct copy-protection.

We consider a set of security and privacy problems under reliability and storage constraints that can be tackled by using codes and particularly focus on the secret-key agreement problem. Polar subcodes (PSCs) are polar codes (PCs) with dynamically-frozen symbols and have a larger code minimum distance than PCs with only statically-frozen symbols. A randomized nested PSC construction, where the low-rate code is a PSC and the high-rate code is a PC, is proposed for successive cancellation list (SCL) and sequential decoders. This code construction aims to perform lossy compression with side information, i.e., Wyner-Ziv (WZ) coding. Nested PSCs are used in the key agreement problem with physical identifiers and two terminals since WZ-coding constructions significantly improve on Slepian-Wolf coding constructions such as fuzzy extractors. Significant gains in terms of the secret-key vs. storage rate ratio as compared to nested PCs with the same list sizes are illustrated to show that nested PSCs significantly improve on all existing code constructions. The performance of the nested PSCs is shown to improve with larger list sizes, unlike the nested PCs considered. A design procedure to efficiently construct nested PSCs and possible improvements to the nested PSC designs are also provided.

A Statistical Information Theoretic Secure (SITS) system utilizing the Chinese Remainder Theorem (CRT), coupled with Fully Homomorphic Encryption (FHE) for Distributed Communication-less Secure Multiparty Computation (DCLSMPC) of any Distributed Unknown Finite State Machine (DUFSM) is presented. Namely, secret shares of the input(s) and output(s) are passed to/from the computing parties, while there is no communication between them throughout the computation. We propose a novel approach of transition table representation and polynomial representation for arithmetic circuits evaluation, joined with a CRT secret sharing scheme and FHE to achieve SITS communication-less within computational secure execution of DUFSM. We address the severe limitation of FHE implementation over a single server to cope with a malicious or Byzantine server. We use several distributed memory-efficient solutions that are significantly better than the majority vote in replicated state machines, where each participant maintains an FHE replica. A Distributed Unknown Finite State Machine (DUFSM) is achieved when the transition table is secret shared or when the (possible zero value) coefficients of the polynomial are secret shared, implying communication-less SMPC of an unknown finite state machine.

In proof-of-stake (PoS) blockchains, stakeholders that extend the chain are selected according to the amount of stake they own. In S\&P 2019 the ``Ouroboros Crypsinous'' system of Kerber et al.\ (and concurrently Ganesh et al.\ in EUROCRYPT 2019) presented a mechanism that hides the identity of the stakeholder when adding blocks, hence preserving anonymity of stakeholders both during payment and mining in the Ouroboros blockchain. They focus on anonymizing the messages of the blockchain protocol, but suggest that potential identity leaks from the network-layer can be removed as well by employing anonymous broadcast channels. In this work we show that this intuition is flawed. Even ideal anonymous broadcast channels do not suffice to protect the identity of the stakeholder who proposes a block. We make the following contributions. First, we show a formal network-attack against Ouroboros Crypsinous, where the adversary can leverage network delays to distinguish who is the stakeholder that added a block on the blockchain. Second, we abstract the above attack and show that whenever the adversary has control over the network delay -- within the synchrony bound -- loss of anonymity is inherent for any protocol that provides liveness guarantees. We do so, by first proving that it is impossible to devise a (deterministic) state-machine replication protocol that achieves basic liveness guarantees and better than $(1-2\f)$ anonymity at the same time (where $\f$ is the fraction of corrupted parties). We then connect this result to the PoS setting by presenting the tagging and reverse tagging attack that allows an adversary, across several executions of the PoS protocol, to learn the stake of a target node, by simply delaying messages for the target. We demonstrate that our assumption on the delaying power of the adversary is realistic by describing how our attack could be mounted over the Zcash blockchain network (even when Tor is used). We conclude by suggesting approaches that can mitigate such attacks.

We study uncloneable quantum encryption schemes for classical messages as recently proposed by Broadbent and Lord. We focus on the information-theoretic setting and give several limitations on the structure and security of these schemes: Concretely, 1) We give an explicit cloning-indistinguishable attack that succeeds with probability $\frac12 + \mu/16$ where $\mu$ is related to the largest eigenvalue of the resulting quantum ciphertexts. 2) For a uniform message distribution, we partially characterize the scheme with the minimal success probability for cloning attacks. 3) Under natural symmetry conditions, we prove that the rank of the ciphertext density operators has to grow at least logarithmically in the number of messages to ensure uncloneable security. 4) The \emph{simultaneous} one-way-to-hiding (O2H) lemma is an important technique in recent works on uncloneable encryption and quantum copy protection. We give an explicit example which shatters the hope of reducing the multiplicative "security loss" constant in this lemma to below 9/8.

The k-XOR problem can be generically formulated as the following: given many n-bit strings generated uniformly at random, find k distinct of them which XOR to zero. This generalizes collision search (two equal elements) to a k-tuple of inputs. This problem has become ubiquitous in cryptanalytic algorithms, including variants in which the XOR operation is replaced by a modular addition ($k$-SUM) or other non-commutative operations (e.g., the composition of permutations). The case where a single solution exists on average is of special importance. At EUROCRYPT 2020, Naya-Plasencia and Schrottenloher defined a class of ``quantum merging algorithms'' for the k-XOR problem, obtained by combining quantum search. They represented these algorithms by a set of ``merging trees'' and obtained the best ones through linear optimization of their parameters. In this paper, we give a simplified representation of merging trees that makes their analysis easier. We give better quantum algorithms for the Single-solution k-XOR problem by relaxing one of the previous constraints, and making use of quantum walks. Our algorithms subsume or improve over all previous quantum algorithms for Single-solution k-XOR. For example, we give an algorithm for 4-XOR (or 4-SUM) in quantum time $\widetilde{\mathcal{O}}(2^{7n/24})$.

In this work, we study disappearing cryptography in the bounded storage model. Here, a component of the transmission, say a ciphertext, a digital signature, or even a program, is streamed bit by bit. The stream is too large for anyone to store in its entirety, meaning the transmission effectively disappears once the stream stops. We first propose the notion of online obfuscation, capturing the goal of disappearing programs in the bounded storage model. We give a negative result for VBB security in this model, but propose candidate constructions for a weaker security goal, namely VGB security. We then demonstrate the utility of VGB online obfuscation, showing that it can be used to generate disappearing ciphertexts and signatures. All of our applications are not possible in the standard model of cryptography, regardless of computational assumptions used.