We push a little further the study of two characterizations of almost perfect nonlinear (APN) functions introduced in our recent monograph. We state open problems about them, and we revisit in their perspective a well-known result from Dobbertin on APN exponents. This leads us to new results about APN power functions and more general APN polynomials with coefficients in a subfield F_{2^k} , which ease the research of such functions and of differentially uniform functions, and simplifies the related proofs by avoiding tedious calculations. In a second part, we give slightly simpler proofs than in the same monograph, of two known results on Boolean functions, one of which deserves to be better known but needed clarification, and the other needed correction.

Existing proofs for Discrete Log (DL) based multi-signature schemes give essentially no guarantee if the schemes are implemented, as they are in practice, in 256-bit groups. This is because the current reductions, which are in the standard model and from DL, are loose. We show that relaxing either the model or the assumption suffices to obtain tight reductions. Namely we give (1) tight proofs from DL in the Algebraic Group Model, and (2) tight, standard-model proofs from well-founded assumptions other than DL. We first do this for the classical 3-round schemes, namely BN and MuSig. Then we give a new 2-round multi-signature scheme, HBMS, as efficient as prior ones, for which we do the same. These multiple paths to security for a single scheme are made possible by a framework of chain reductions, in which a reduction is broken into a chain of sub-reductions involving intermediate problems. Overall our results improve the security guarantees for DL-based multi-signature schemes in the groups in which they are implemented in practice.

It has been common knowledge that for a stream cipher to be secure against generic TMD tradeoff attacks, the size of its internal state in bits needs to be at least twice the size of the length of its secret key. In FSE 2015, Armknecht and Mikhalev however proposed the stream cipher Sprout with a Grain-like architecture, whose internal state was equal in size with its secret key and yet resistant against TMD attacks. Although Sprout had other weaknesses, it germinated a sequence of stream cipher designs like Lizard and Plantlet with short internal states. Both these designs have had cryptanalytic results reported against them. In this paper, we propose the stream cipher Atom that has an internal state of 159 bits and offers a security of 128 bits. Atom uses two key filters simultaneously to thwart certain cryptanalytic attacks that have been recently reported against keystream generators. In addition, we found that our design is one of the smallest stream ciphers that offers this security level, and we prove in this paper that Atom resists all the attacks that have been proposed against stream ciphers so far in literature. On the face of it, Atom also builds on the basic structure of the Grain family of stream ciphers. However, we try to prove that by including the additional key filter in the architecture of Atom we can make it immune to all cryptanalytic advances proposed against stream ciphers in recent cryptographic literature.

Side-channel attacks are a threat to secrets stored on a device, especially if an adversary has physical access to the device. As an effect of this, countermeasures against such attacks for cryptographic algorithms are a well-researched topic. In this work, we deviate from the study of cryptographic algorithms and instead focus on the side-channel protection of a much more basic operation, the comparison of a known attacker-controlled value with a secret one. Comparisons sensitive to side-channel leakage occur in tag comparisons during the verification of message authentication codes (MACs) or authenticated encryption, but are typically omitted in security analyses. Besides, also comparisons performed as part of fault countermeasures might be sensitive to side-channel attacks. In this work, we present a formal analysis on comparing values in a leakage resilient manner by utilizing cryptographic building blocks that are typically part of an implementation anyway. Our results indicate that there is no need to invest additional resources into implementing a protected comparison operation itself if a sufficiently protected implementation of a public cryptographic permutation, or a (tweakable) block cipher, is already available. We complement our contribution by applying our findings to the SuKS message authentication code used by lightweight authenticated encryption scheme ISAP, and to the classical Hash-then-PRF construction.

Cryptanalysis of symmetric-key ciphers, e.g., linear/differential cryptanalysis, requires an adversary to know the internal structures of the target ciphers. On the other hand, deep learning-based cryptanalysis has attracted significant attention because the adversary is not assumed to have knowledge about the target ciphers with the exception of the algorithm interfaces. Such cryptanalysis in a blackbox setting is extremely strong; thus, we must design symmetric-key ciphers that are secure against deep learning-based cryptanalysis. However, almost previous attacks do not clarify what features or internal structures affect success probabilities. Although Benamira et al. (Eurocrypt 2021) and Chen et al. (ePrint 2021) analyzed Gohr’s results (CRYPTO 2019), they did not find any deep learning specific characteristic where it affects the success probabilities of deep learning-based attacks but does not affect those of linear/differential cryptanalysis. Therefore, it is difficult to employ the results of such cryptanalysis to design deep learning-resistant symmetric-key ciphers. In this paper, we propose deep learning-based output prediction attacks in a blackbox setting. As preliminary experiments, we first focus on two toy SPN block ciphers (small PRESENT-[4] and small AES-[4]) and one toy Feistel block cipher (small TWINE-[4]). Due to its small internal structures with a block size of 16 bits, we can construct deep learning models by employing the maximum number of plaintext/ciphertext pairs, and we can precisely calculate the rounds in which full diffusion occurs. Next, based on the preliminary experiments, we explore whether the evaluation results obtained by our attacks against three toy block ciphers can be applied to block ciphers with large block sizes, e.g., 32 and 64 bits. As a result, we demonstrate the following results, specifically for the SPN block ciphers: First, our attacks work against a similar number of rounds that the linear/differential attacks can be successful. Next, our attacks realize output predictions (precisely ciphertext prediction and plaintext recovery) that are much stronger than distinguishing attacks. Then, swapping or replacing the internal components of the target block ciphers affects the average success probabilities of the proposed attacks. It is particularly worth noting that this is a deep learning specific characteristic because swapping/replacing does not affect the average success probabilities of the linear/differential attacks. Finally, by analyzing the influence of the differences in the characteristics of three S-boxes (i.e., the original PRESENT S-box and two known weak S-boxes) on deep learning specific characteristics, we clarify that the resistance of the target ciphers to differential/linear attacks can affect the success probability of deep learning-based attacks. We also confirm whether the proposed attacks work on the Feistel block cipher. We expect that our results will be an important stepping stone in the design of deep learning-resistant symmetric-key ciphers.

Branching program is an important component of indistinguishability obfuscation (IO) schemes, its size greatly influences the efficiencies of corresponding IO schemes. There are two major candidates of branching programs, Bar86 branching program and IK00 branching program. Bar86 branching program was shown to efficiently recognize NC$^1$ circuits. In specific, a Boolean circuit of depth $d$ can be recognized by a Bar86 branching program of length not larger than $4^d$ (Therefore of size not larger than $5^2 \times 4^d$). In this short paper we present similar result about IK00 branching program. We show that IK00 branching program efficiently recognizes NC$^1$ circuits, that is, a Boolean circuit of depth $d$ can be recognized by an IK00 branching program of size not larger than $(n+1) \times 4^d$, where $n$ is input length. Our result may be a negative evidence for IK00 branching program to efficiently recognize polynomial-time computable functions.

In our previous paper we introduced a novel SNARK-based construction, called Zendoo, that allows Bitcoin-like blockchains to create and communicate with sidechains of different types without knowing their internal structure. We also introduced a specific construction, called Latus, allowing creation of fully verifiable sidechains. But in there we omitted a detailed description of an incentive scheme for Latus that is an essential element of a real decentralized system. This paper fills the gap by introducing details of the incentive scheme for the Latus sidechain. Represented ideas can also be adopted by other SNARK-based blockchains to incentivize decentralized proofs creation.

In 1989, Shamir presented an efficient identification scheme (IDS) based on the permuted kernel problem (PKP). After 21 years, PKP was generalized by Lampe and Patarin, who were able to build an IDS similar to Shamir's one, but using the binary field. This binary variant presented some interesting advantages over Shamir's original IDS, such as reduced number of operations and inherently resistance against side-channel attacks. In the security analysis, considering the best attacks against the original PKP, the authors concluded that none of these existing attacks appeared to have a significant advantage when attacking the binary variant. In this paper, we propose the first attack that targets the binary PKP. The attack is analyzed in detail, and its practical performance is compared with our theoretical models. For the proposed parameters originally targeting 79 and 98 bits of security, our attack can recover about 100% of all keys using less than $2^{63}$ and $2^{77}$ operations, respectively.

State-separating proofs (SSP) is a recent methodology for structuring game-based cryptographic proofs in a modular way, by using algebraic laws to exploit the modular structure of composed protocols. While promising, this methodology was previously not fully formalized and came with little tool support. We address this by introducing SSProve, the first general verification framework for machine-checked state-separating proofs. SSProve combines high-level modular proofs about composed protocols, as proposed in SSP, with a probabilistic relational program logic for formalizing the lower-level details, which together enable constructing machine-checked cryptographic proofs in the Coq proof assistant. Moreover, SSProve is itself fully formalized in Coq, including the algebraic laws of SSP, the soundness of the program logic, and the connection between these two verification styles. To illustrate SSProve we use it to mechanize the simple security proofs of ElGamal and PRF-based encryption. We also validate the SSProve approach by conducting two more substantial case studies: First, we mechanize an SSP security proof of the KEM-DEM public key encryption scheme, which led to the discovery of an error in the original paper proof that has since been fixed. Second, we use SSProve to formally prove security of the sigma-protocol zero-knowledge construction, and we moreover construct a commitment scheme from a sigma-protocol to compare with a similar development in CryptHOL. We instantiate the security proof for sigma-protocols to give concrete security bounds for Schnorr's sigma-protocol.

Code-based cryptographic schemes are highly regarded among the quantum-safe alternatives to current standards. Yet, designing code-based signatures using traditional methods has always been a challenging task, and current proposals are still far from the target set by other post-quantum primitives (e.g. lattice-based). In this paper, we revisit a recent work using an innovative approach for signing, based on the hardness of the code equivalence problem. We introduce some optimizations and provide a security analysis for all variants considered. We then show that the new parameters produce instances of practical interest.

Recently, a light-weight authenticated key-exchange (AKE) scheme has been proposed. The scheme provides mutual authentication. It is asymmetric in nature by delegating complex cryptographic operations to resource-equipped servers, and carefully managing the workload on resource-constrained Smart meter nodes by using Physically Unclonable Functions. The prototype Smart meter built using commercial-off-the-shelf products is enabled with a low-cost countermeasure against load-modification attacks, which goes side-by-side with the proposed protocol. An attack against this AKE scheme has been recently proposed claiming that the server can be breached to mount spoofing attacks. It relies on the assumption that the result of an attack against authenticated key-exchange protocol is determined before the attacker learns the session key. In this short paper, we discuss the attack’s validity and describe the misinterpretation of the AKE protocol’s security definition.

Broadbent and Islam (TCC '20) proposed a quantum cryptographic primitive called quantum encryption with certified deletion. In this primitive, a receiver in possession of a quantum ciphertext can generate a classical certificate that the encrypted message is deleted. Though they proved that their construction is information theoretically secure, a drawback is that the construction is limited to the setting of one-time symmetric key encryption (SKE) where a sender and receiver have to share a common key in advance and the key can be used only once. In this paper, we construct a (reusable-key) public key encryption (PKE) and attribute-based encryption (ABE) with certified deletion. Our PKE with certified deletion is constructed assuming the existence of IND-CPA secure PKE, and our ABE with certified deletion is constructed assuming the existence of indistinguishability obfuscation and one-way function.

We extend a basic key agreement model with a hidden identifier source to a multi-user model with joint secrecy and privacy constraints over all entities that do not trust each other. Different entities that use different measurements of the same remote source through broadcast channels (BCs) to agree on mutually-independent local secret keys are considered. This model is the proper multi-user extension of the basic model since the encoder and decoder pairs are not assumed to trust other pairs, unlike assumed in the literature. Strong secrecy constraints imposed jointly on all secret keys, which is more stringent than separate secrecy leakage constraints for each secret key considered in the literature, are satisfied. Inner bounds for maximum key rate, and minimum privacy-leakage and storage rates are proposed for any finite number of entities. Inner and outer bounds for degraded and less-noisy BCs are given to illustrate cases with strong privacy. A multi-enrollment model that is used for common physical unclonable functions (PUFs) is also considered to establish inner and outer bounds for key-leakage-storage regions that differ only in the Markov chains imposed. For this special case, the encoder and decoder measurement channels have the same channel transition matrix and secrecy leakage is measured for each secret key separately. We illustrate cases for which it is useful to have multiple enrollments as compared to a single enrollment and vice versa.

Differential privacy has been widely applied to provide privacy guarantees by adding random noise to the function output. However, it inevitably fails in many high-stakes voting scenarios, where voting rules are required to be deterministic. In this work, we present the first framework for answering the question: ``How private are commonly-used voting rules?" Our answers are two-fold. First, we show that deterministic voting rules provide sufficient privacy in the sense of distributional differential privacy (DDP). We show that assuming the adversarial observer has uncertainty about individual votes, even publishing the histogram of votes achieves good DDP. Second, we introduce the notion of exact privacy to compare the privacy preserved in various commonly-studied voting rules, and obtain dichotomy theorems of exact DDP within a large subset of voting rules called generalized scoring rules.

There is a difference between a system having no known attacks and the system being secure---as cryptographers know all too well. Once we begin talking about the implementations of systems this issue becomes even more prominent since the amount of material which needs to be scrutinised skyrockets. Historically, lack of transparency and low standards for e-voting system implementations have resulted in a culture where open source code is seen as a gold standard; however, this ignores the issue of the comprehensibility of that code. In this work we make concrete empirical recommendations based on our, and others, experiences and findings from examining the source code of e-voting systems. We highlight that any solution used for significant elections should be well designed, carefully analysed, deftly built, accurately documented and expertly maintained. Until e-voting system implementations are clear, comprehensible, and open to public scrutiny security standards are unlikely to improve.

We present Orthros, a 128-bit block pseudorandom function. It is designed with primary focus on latency of fully unrolled circuits. For this purpose, we adopt a parallel structure comprising two keyed permutations. The round function of each permutation is similar to Midori, a low-energy block cipher, however we thoroughly revise it to reduce latency, and introduce different rounds to significantly improve cryptographic strength in a small number of rounds. We provide a comprehensive, dedicated security analysis. For hardware implementation, Orthros achieves the lowest latency among the state-of-the-art low-latency primitives. For example, using the STM 90nm library, Orthros achieves a minimum latency of around 2.4 ns, while other constructions like PRINCE, Midori-128 and QARMA_{9}-128-\sigma_{0} achieve 2.56 ns, 4.10 ns, 4.38 ns respectively.

In this paper, we propose a novel concept named Physically Related Function(PReF) which are devices with hardware roots of trust. It enables secure key-exchange with no pre-established/embedded secret keys. This work is motivated by the need to perform key-exchange between lightweight resource-constrained devices. We present a proof-of-concept realization of our contributions in hardware using FPGAs.

Topology-hiding broadcast (THB) enables parties communicating over an incomplete network to broadcast messages while hiding the topology from within a given class of graphs. THB is a central tool underlying general topology-hiding secure computation (THC) (Moran et al. TCC’15). Although broadcast is a privacy-free task, it was recently shown that THB for certain graph classes necessitates computational assumptions, even in the semi-honest setting, and even given a single corrupted party. In this work we investigate the minimal assumptions required for topology-hiding communication: both Broadcast or Anonymous Broadcast (where the broadcaster’s identity is hidden). We develop new techniques that yield a variety of necessary and sufficient conditions for the feasibility of THB/THAB in different cryptographic settings: information theoretic, given existence of key agreement, and given existence of oblivious transfer. Our results show that feasibility can depend on various properties of the graph class, such as connectivity, and highlight the role of different properties of topology when kept hidden, including direction, distance, and/or distance-of-neighbors to the broadcaster. An interesting corollary of our results is a dichotomy for THC with a public number of at least three parties, secure against one corruption: information-theoretic feasibility if all graphs are 2-connected; necessity and sufficiency of key agreement otherwise.

Quantum-access security, where an attacker is granted superposition access to secret-keyed functionalities, is a fundamental security model and its study has inspired results in post-quantum security. We revisit, and fill a gap in, the quantum-access security analysis of the Lamport one-time signature scheme (OTS) in the quantum random oracle model (QROM) by Alagic et al.~(Eurocrypt 2020). We then go on to generalize the technique to the Winternitz OTS. Along the way, we develop a tool for the analysis of hash chains in the QROM based on the superposition oracle technique by Zhandry (Crypto 2019) which might be of independent interest.

Federated learning (FL) is an emerging distributed machine learning paradigm which addresses critical data privacy issues in machine learning by enabling clients, using an aggregation server (aggregator), to jointly train a global model without revealing their training data. Thereby, it improves not only privacy but is also efficient as it uses the computation power and data of potentially millions of clients for training in parallel. However, FL is vulnerable to so-called inference attacks by malicious aggregators which can infer information about clients’ data from their model updates. Secure aggregation restricts the central aggregator to only learn the summation or average of the updates of clients. Unfortunately, existing protocols for secure aggregation for FL suffer from high communication, computation, and many communication rounds. In this work, we present SAFELearn, a generic design for efficient private FL systems that protects against inference attacks that have to analyze individual clients' model updates using secure aggregation. It is flexibly adaptable to the efficiency and security requirements of various FL applications and can be instantiated with MPC or FHE. In contrast to previous works, we only need 2 rounds of communication in each training iteration, do not use any expensive cryptographic primitives on clients, tolerate dropouts, and do not rely on a trusted third party. We implement and benchmark an instantiation of our generic design with secure two-party computation. Our implementation aggregates 500~models with more than 300K parameters in less than 0.5 seconds.

The problem of Blockwise Isomorphism of Polynomials was introduced by Santoso at PQCrypto 2020 as a generalization of the problem of Isomorphism of Polynomials. In the present paper, we describe how to solve this problem with circulant matrices, used in Santoso's Diffie-Hellman type encryption scheme.

Bitcoin can process only a few transactions per second, which is insufficient for a global payment network. The Lightning Network (LN) aims to address this challenge. The LN allows for low-latency bitcoin transfers through a network of payment channels. In contrast to regular Bitcoin transactions, payments in the LN are not globally broadcast. Thus it may improve not only Bitcoin’s scalability but also privacy. However, the probing attack allows an adversary to discover channel balances, threatening users’ privacy. Prior work on probing did not account for the possibility of multiple (parallel) channels between two nodes. Naive probing algorithms yield false results for parallel channels. In this work, we develop a new probing model that accurately accounts for parallel channels. We describe jamming-enhanced probing that allows for full balance information extraction in multi-channel hops, which was impossible with earlier probing methods. We quantify the attacker’s information gain and propose an optimized algorithm for choosing probe amounts for multi-channel hops. We demonstrate its efficiency based on real-world data using our own probing-focused LN simulator. Finally, we discuss countermeasures such as new forwarding strategies, intra-hop payment split, rebalancing, and unannounced channels.

This report considers combining three well-known optimization methods for elliptic curve scalar multiplication: Gallant--Lambert--Vanstone (GLV) for complex multiplication endomorphisms $[i]$ and $[i+1]$; 3-bit fixed windows (signed base 8); and Hisil--Wong--Carter--Dawson (HWCD) curve arithmetic for twisted Edwards curves. An $x$-only Diffie--Hellman scalar multiplication for curve $2y^2=x^3+x$ over field size $8^{91}+5$ has arithmetic cost $947\textbf{M} + 1086\textbf{S}$, where $\textbf{M}$ is a field multiplication and $\textbf{S}$ is a field squaring. This is approximately $(3.55\textbf{M} + 4.07\textbf{S})$/bit, with $1\textbf{S}$/bit for input decompression and $1\textbf{S}$/bit for output normalization. Optimizing speed by allowing uncompressed input points leads to an estimate $(3.38\textbf{M}+2.95\textbf{S})$/bit. To mitigate some side-channel attacks, the secret scalar is only used to copy curve points from one array to another: the field operations used are fixed and independent of the secret scalar. The method is likely vulnerable to cache-timing attacks, nonetheless.

We construct two tightly secure signature schemes based on the computational Diffie-Hellman (CDH) and factoring assumptions in the random oracle model. Our schemes are proven secure in the multi-user setting, and their security loss is constant and does not depend on the number of users or signing queries. They are the first schemes that achieve this based on standard search assumptions, as all existing schemes we are aware of are either based on stronger decisional assumptions, or proven tightly secure in the less realistic single-user setting. Under a concrete estimation, in a truly large scale, the cost of our CDH-based scheme is about half of Schnorr and DSA (in terms of signature size and running time for signing).

Threshold and blind signature schemes have found numerous applications in cryptocurrencies, e-cash, e-voting and other privacy-preserving technologies. In this work, we make advances in bringing lattice-based constructions for these primitives closer to practice. 1. Threshold Signatures. For round optimal threshold signatures, we improve the only known construction by Boneh et al. [CRYPTO'18] as follows: a. Efficiency. We reduce the amount of noise flooding from $2^{\Omega(\lambda)}$ down to $\sqrt{Q_S}$, where $Q_S$ is the bound on the number of generated signatures and $\lambda$ is the security parameter. By using lattice hardness assumptions over polynomial rings, this allows to decrease signature bit-lengths from $\widetilde{O}(\lambda^3)$ to $\widetilde{O}(\lambda)$. b. Towards Adaptive Security. The construction of Boneh et al. satisfies only selective security, where all the corrupted parties must be announced before any signing queries are made. We improve this in two ways: in the ROM, we obtain partial adaptivity where signing queries can be made before the corrupted parties are announced but the set of corrupted parties must be announced all at once. In the standard model, we obtain full adaptivity, where parties can be corrupted at any time but this construction is in a weaker pre-processing model where signers must be provided correlated randomness of length proportional to the number of signatures, in an offline pre-processing phase. 2. Blind Signatures. For blind signatures, we improve the state of art lattice-based construction by Hauck et al.[CRYPTO'20] as follows: a. Round Complexity. We improve the round complexity from three to two -- this is optimal. b. Efficiency. Again, we reduce the amount of noise flooding from $2^{\Omega(\lambda)}$ down to $\sqrt{Q_S}$, where $Q_S$ is the bound on the number of signatures and $\lambda$ is the security parameter. c. Number of Signing Queries. Unlike the scheme from Hauck et al., our construction enjoys a proof that is not restricted to a polylogarithmic number of signatures. Using lattice hardness assumptions over rings, we obtain signatures of bit-lengths bounded as $\widetilde{O}(\lambda)$. In contrast, the signature bit-length in the scheme from Hauck et al. is $\Omega(\lambda^3 + Q_S \cdot \lambda)$. Concretely, we can obtain blind/threshold signatures of size $\approx 3$ KB using a variant of Dilithium-G with $\approx 128$ bit-security, for adversaries limited to getting $256$ signatures. In contrast, parameters provided by Hauck et al. lead to blind signatures of $\approx 7.73$ MB, for adversaries limited to getting 7 signatures, while concrete parameters are not provided for the construction of threshold signatures by Boneh et al.

Proxy signature (PS) is a kind of digital signature, in which an entity called original signer can delegate his signing rights to another entity called proxy signer. Designated verifier signature (DVS) is a kind of digital signature where the authenticity of any signature can be verified by only one verifier who is designated by the signer when generating it. Designated verifier proxy signature (DVPS) combines the idea of DVS with the concept of proxy signature (PS) and is suitable for being applied in many scenarios from e-tender, e-voting, e-auction, e-health and e-commerce, etc. Many DVPS schemes have been proposed and Identity-based DVPS (IBDVPS) schemes have also been discussed. Certificateless public-key cryptography (CL-PKC) is acknowledged as an appealing paradigm because there exists neither the certificate management issue as in traditional PKI nor private key escrow problem as in Identity-based setting. A number of certificateless designated verifier signature (CLDVS) schemes and many certificateless proxy signature (CLPS) schemes have been proposed. However, to the best of our knowledge, the concept of Certificateless Designated Verifier Proxy Signature (CLDVPS) has not been appeared in the literature. In this paper, we formalize the definition and the security model of CLDVPS schemes. We then construct the first CLDVPS scheme and prove its security.

This note solves the open problem of finding a closed formula for the bias of a rotational differential-linear distinguisher proposed in IACR ePrint 2021/189 (EUROCRYPT 2021), completely generalizing the results on ordinary differential-linear distinguishers due to Blondeau, Leander, and Nyberg (JoC 2017) to the case of rotational differential-linear distinguishers.

Motivated by the goal of designing versatile and flexible secure computation protocols that at the same time require as little interaction as possible, we present new multiparty reusable Non-Interactive Secure Computation (mrNISC) protocols. This notion, recently introduced by Benhamouda and Lin (TCC 2020), is essentially two-round Multi-Party Computation (MPC) protocols where the first round of messages serves as a reusable commitment to the private inputs of participating parties. Using these commitments, any subset of parties can later compute any function of their choice on their respective inputs by just sending a single message to a stateless evaluator, conveying the result of the computation but nothing else. Importantly, the input commitments can be computed without knowing anything about other participating parties (neither their identities nor their number) and they are reusable across any number of desired computations. We give a construction of mrNISC that achieves standard simulation security, as classical multi-round MPC protocols achieve. Our construction relies on the Learning With Errors (LWE) assumption with polynomial modulus, and on the existence of a pseudorandom function (PRF) in $\mathsf{NC}^1$. We achieve semi-malicious security in the plain model and malicious security by further relying on trusted setup (which is unavoidable for mrNISC). In comparison, the only previously known constructions of mrNISC were either using bilinear maps or using strong primitives such as program obfuscation. We use our mrNISC to obtain new Multi-Key FHE (MKFHE) schemes with threshold decryption: $\bullet$ In the CRS model, we obtain threshold MKFHE for $\mathsf{NC}^1$ based on LWE with only $\textit{polynomial}$ modulus and PRFs in $\mathsf{NC}^1$, whereas all previous constructions rely on LWE with super-polynomial modulus-to-noise ratio. $\bullet$ In the plain model, we obtain threshold levelled MKFHE for $\mathsf{P}$ based on LWE with $\textit{polynomial}$ modulus, PRF in $\mathsf{NC}^1$, and NTRU, and another scheme for constant number of parties from LWE with sub-exponential modulus-to-noise ratio. The only known prior construction of threshold MKFHE (Ananth et al., TCC 2020) in the plain model restricts the set of parties who can compute together at the onset.

This article discusses existing attacks and known weaknesses of BLS aggregate signatures. The goal is clarify the threat model of BLS aggregate signatures, what security properties that they have and do not have. It’s unfortunate that the weaknesses are not documented anywhere in BLS RFC draft v4 [1]. Confusion, ambiguity, misunderstanding all may cause security issues in practice. We hope that this article can help cryptographic practitioners make informed decisions when using BLS aggregate signatures and deploy mitigations at the application/protocol layer because BLS aggregate signatures might not have security guarantees that you need.

We investigate the existence of constant-round post-quantum black-box zero-knowledge protocols for $\mathbf{NP}$. As a main result, we show that there is no constant-round post-quantum black-box zero-knowledge argument for $\mathbf{NP}$ unless $\mathbf{NP}\subseteq \mathbf{BQP}$. As constant-round black-box zero-knowledge arguments for $\mathbf{NP}$ exist in the classical setting, our main result points out a fundamental difference between post-quantum and classical zero-knowledge protocols. Combining previous results, we conclude that unless $\mathbf{NP}\subseteq \mathbf{BQP}$, constant-round post-quantum zero-knowledge protocols for $\mathbf{NP}$ exist if and only if we use non-black-box techniques or relax certain security requirements such as relaxing standard zero-knowledge to $\epsilon$-zero-knowledge. Additionally, we also prove that three-round and public-coin constant-round post-quantum black-box $\epsilon$-zero-knowledge arguments for $\mathbf{NP}$ do not exist unless $\mathbf{NP}\subseteq \mathbf{BQP}$.

We propose protocols for obliviously evaluating finite-state machines, i.e., the evaluation is shared between the provider of the finite-state machine and the provider of the input string in such a manner that neither party learns the other's input, and the states being visited are hidden from both. For alphabet size $|\Sigma|$, number of states $|Q|$, and input length $n$, previous solutions have either required a number of rounds linear in $n$ or communication $\Omega(n|\Sigma||Q|\log|Q|)$. Our solutions require 2 rounds with communication $O(n(|\Sigma|+|Q|\log|Q|))$. We present two different solutions to this problem, a two-party one and a setting with an untrusted but non-colluding helper.

The Tor anonymity network is often abused by some attackers to (anonymously) convey attack traffic. These attacks abuse Tor exit relays (i.e., the relays through which traffic exits Tor) by making it appear the attack originates there; as a result, many website operators indiscriminately block all Tor traffic (by blacklisting all exit IPs), reducing the usefulness of Tor. Recent research shows that majority of these attacks are ones that generate high traffic volume (e.g., Denial-of-Service attacks). This suggests that a simple solution such as throttling traffic flow at the Tor exits may permit early detection of these attacks, improve overall reputation of exits, and eventually prevent blanket blocking of Tor exits. However, naively monitoring and throttling traffic at the Tor exits can endanger the privacy of the network's users. This paper introduces ZXAD (pronounced "zed-zad"), a zero-knowledge based _private_ Tor exit abuse detection system that permits identification of otherwise unlinkable connections that are part of a high-volume attack. ZXAD does not reveal any information, apart from the fact that some user is conveying a high volume of traffic through Tor. We formally prove the correctness and security of ZXAD. We also measure two proof-of-concept implementations of our zero-knowledge proofs and show that ZXAD operates with low bandwidth and processing overheads.

Given $2n$-to-$n$ compression functions $h_1,h_2,h_3$, we build a new $5n$-to-$n$ compression function $\mathrm{T}_5$, using only $3$ compression calls: $\mathrm{T}_5(m_1, m_2, m_3, m_4, m_5) := h_3( h_1(m_1, m_2)\oplus m_5, h_2(m_3, m_4)\oplus m_5) \oplus m_5$. We prove that this construction matches Stam's bound, by providing $\tilde{O}(q^2/2^n)$ collision security and $O(q^3/2^{2n}+ nq/2^n)$ preimage security (the latter term dominates in the region of interest, when $q<2^{n/2}$). In particular, it provides birthday security for hashing $5$ inputs using three $2n$-to-$n$ compression calls, instead of only $4$ inputs in prior constructions. Thus, we get a sequential variant of the Merkle-Damgård (MD) hashing, where $t$ message blocks are hashed using only $3t/4$ calls to the $2n$-to-$n$ compression functions; a $25\%$ saving over traditional hash function constructions. This time reduces to $t/4$ (resp. $t/2$) sequential calls using $3$ (resp. $2$) parallel execution units; saving a factor of $4$ (resp. $2$) over the traditional MD-hashing, where parallelism does not help to process one message. We also get a novel variant of a Merkle tree, where $t$ message blocks can be processed using $0.75(t-1)$ compression function calls and depth $0.86 \log_2 t$, thereby saving $25\%$ in the number of calls and $14\%$ in the update time over Merkle trees. We provide two modes for a local opening of a particular message block: conservative and aggressive. The former retains the birthday security, but provides longer proofs and local verification time than the traditional Merkle tree. For the aggressive variant, we reduce the proof length to a $29\%$ overhead compared to Merkle trees ($1.29\log_2 t$ vs $\log_2 t$), but the verification time is now $14\%$ faster ($0.86\log_2 t$ vs $\log_2 t$). However, birthday security is only shown under a plausible conjecture related to the 3-XOR problem, and only for the (common, but not universal) setting where the root of the Merkle tree is known to correspond to a valid $t$-block message.

We give an exposition of supersingular isogeny graphs, quaternion ideal graphs and Bruhat–Tits trees, and of their connections. Bruhat–Tits trees are combinatorial objects whose vertices and edges have a very simple representation as two-by-two matrices, which, as we show, is useful for understanding certain aspects of the corresponding elliptic curves and isogenies. Moreover Bruhat–Tits trees can be given an orientation and a notion of depth that we translate into the setting of supersingular isogeny graphs. We give some suggestions towards using Bruhat–Tits trees as a tool for cryptanalysis of certain cryptosystems based on supersingular isogeny graphs.

The construction of linear (minimal) codes from functions over finite fields has been greatly studied in the literature since determining the parameters of linear codes based on functions is rather easy due to the nice structures of functions. In this paper, we derive 3-weight and 4-weight linear codes from weakly regular plateaued unbalanced functions in the recent construction method of linear codes over the odd characteristic finite fields. The Hamming weights and their weight distributions for proposed codes are determined by using the Walsh transform values and Walsh distribution of the employed functions, respectively. We next derive projective 3-weight punctured codes with good parameters from the constructed codes. These punctured codes may be almost optimal due to the Griesmer bound, and they can be employed to design association schemes. We lastly show that all constructed codes are minimal, which approves that they can be employed to design high democratic secret sharing schemes.

We introduce a new approach to realize incrementally verifiable computation (IVC), in which the prover recursively proves the correct execution of incremental computations of the form $y=F^{(\ell)}(x)$, where $F$ is a (potentially non-deterministic) computation, $x$ is the input, $y$ is the output, and $\ell > 0$. Unlike prior approaches to realize IVC, our approach avoids succinct non-interactive arguments of knowledge (SNARKs) entirely and arguments of knowledge in general. Instead, we introduce and employ folding schemes, a weaker, simpler, and more efficiently-realizable primitive, which reduces the task of checking two instances in some relation to the task of checking a single instance. We construct a folding scheme for a characterization of $\mathsf{NP}$ and show that it implies an IVC scheme with improved efficiency characteristics: (1) the "recursion overhead" (i.e., the number of steps that the prover proves in addition to proving the execution of $F$) is a constant and it is dominated by two group scalar multiplications expressed as a circuit (this is the smallest recursion overhead in the literature), and (2) the prover's work at each step is dominated by two multiexponentiations of size $O(|F|)$, providing the fastest prover in the literature. The size of a proof is $O(|F|)$ group elements, but we show that using a variant of an existing zkSNARK, the prover can prove the knowledge of a valid proof succinctly and in zero-knowledge with $O(\log{|F|})$ group elements. Finally, our approach neither requires a trusted setup nor FFTs, so it can be instantiated efficiently with any cycles of elliptic curves where DLOG is hard.

Side-channel attacks are a serious problem in the implementation of cryptosystems. Masking is an effective countermeasure to this problem and it has been actively studied for implementations of block ciphers. An obstacle to efficient masked implementation is the complexity of an evaluation of multiplication, which is quadratic in the order of masking. A natural approach to this problem is to explore ways to reduce the number of multiplications required to compute an S-box. Algebraic decomposition is another interesting approach proposed by Carlet et al. in 2015, which gives a way to represent an S-box as composition of polynomials with low algebraic degrees. In this paper, for the algebraic decomposition, we propose to use a special type of low-algebraic-degree polynomials, which we call generalized multiplication (GM) polynomials. The masking scheme for multiplication can be applied to GM polynomials, which is more efficient than the masking scheme for general low-algebraic-degree polynomials. Our performance evaluation based on some experimental results shows the effectiveness of masked implementation using the proposed decomposition compared to masked implementation using the decomposition of Carlet et al.

The supersingular isogeny-based key encapsulation (SIKE) suite stands as an attractive post-quantum cryptosystem with its relatively small public keys. Public key sizes in SIKE can further be compressed by computing pairings and solving discrete logarithms in certain subgroups of finite fields. This comes at a cost of precomputing and storing large discrete logarithm tables. In this paper, we propose several techniques to optimize memory requirements in computing discrete logarithms in SIKE, and achive to reduce table sizes by a factor of 4. We implement our techniques and verify our theoretical findings.

In recent years a new type of block ciphers and hash functions over a (large) field, such as MiMC and GMiMC, have been designed. Their security, particularly over a prime field, is mainly determined by algebraic cryptanalysis techniques, such as Gröbner basis and interpolation attacks. In SAC 2019, Li and Preneel presented low memory interpolation cryptanalysis against the MiMC and Feistel-MiMC designs. In this work we answer the open question posed in their work and show that low memory interpolation cryptanalysis can be extended to unbalanced Feistel networks (UFN) with low degree functions, and in particular to the GMiMC design. Our attack applies to UFNs with expanding and contracting round functions keyed either via identical (univariate) or distinct round keys (multivariate). Since interpolation attacks do not necessarily yield the best possible attacks over a binary extension field, we focus our analysis on prime fields GF(p). Our next contribution is to develop an improved technique for a more efficient key recovery against UFNs with expanding round function. We show that the final key recovery step can be reduced not only to the gcd but also to the root finding problem. Despite its higher theoretical complexity, we show that our approach has a particularly interesting application on Sponge hash functions based on UFNs, such as GMiMCHash. We illustrate for the first time how our root finding technique can be used to find collision, second preimage and preimage attacks on (reduced round) members of the GMiMCHash family. In addition, we support our theoretical analysis with small-scale experimental results.

Multiparty computation protocols (MPC) are said to be \emph{secure against covert adversaries} if the honest parties are guaranteed to detect any misbehavior by the malicious parties with a constant probability. Protocols that, upon detecting a cheating attempt, additionally allow the honest parties to compute certificates, which enable third parties to be convinced of the malicious behavior of the accused parties, are called \emph{publicly verifiable}. In this work, we make several contributions to the domain of MPC with security against covert adversaries. We identify a subtle flaw in a protocol of Goyal, Mohassel, and Smith (Eurocrypt 2008) and show how to modify their original construction to obtain security against covert adversaries. We present generic compilers that transform arbitrary passively secure preprocessing protocols, i.e. protocols where the parties have no private inputs, into protocols that are secure against covert adversaries and publicly verifiable. Using our compiler, we construct the first efficient variants of the BMR and the SPDZ protocols that are secure and publicly verifiable against a covert adversary that corrupts all but one party and also construct variants with covert security and identifiable abort. We observe that an existing impossibility result by Ishai, Ostrovsky, and Seyalioglu (TCC 2012) can be used to show that there exist certain functionalities that cannot be realized by parties, that have oracle-access to broadcast and arbitrary two-party functionalities, with information-theoretic security against a covert adversary.

Cryptographic objects with updating capabilities have been proposed by Bellare, Goldreich and Goldwasser (CRYPTO'94) under the umbrella of incremental cryptography. They have recently seen increased interest, motivated by theoretical questions (Ananth et al., EC'17) as well as concrete practical motivations (Lehmann et al., EC'18; Groth et al. CRYPTO'18; Klooss et al., EC'19). In this work, the form of updatability we are particularly interested in is that primitives are key-updatable and allow to update old cryptographic objects, e.g., signatures or message authentication codes, from the old key to the updated key at the same time without requiring full access to the new key (i.e., only via a so-called update token). Inspired by the rigorous study of updatable encryption by Lehmann and Tackmann (EC'18) and Boyd et al. (CRYPTO'20), we introduce a definitional framework for updatable signatures (USs) and message authentication codes (UMACs). We discuss several applications demonstrating that such primitives can be useful in practical applications, especially around key rotation in various domains, as well as serve as building blocks in other cryptographic schemes. We then turn to constructions and our focus there is on ones that are secure and practically efficient. In particular, we provide generic constructions from key-homomorphic primitives (signatures and PRFs) as well as direct constructions. This allows us to instantiate these primitives from various assumptions such as DDH or CDH (latter in bilinear groups), or the (R)LWE and the SIS assumptions. As an example, we obtain highly practical US schemes from BLS signatures or UMAC schemes from the Naor-Pinkas-Reingold PRF.

This paper proposes a new ultra lightweight cipher RAGHAV. RAGHAV is a Substitution-Permutation (SP) network, which operates on 64 bit plaintext and supports a 128/80 bit key scheduling. It needs only 994.25 GEs by using 0.13µm ASIC technology for a 128 bit key scheduling. It also needs less memory i.e. 2204 bytes of FLASH memory , which is less as compared to all existing S-P network lightweight ciphers. This paper presents a complete security analysis of RAGHAV, which includes basic attacks like linear cryptanalysis and differential cryptanalysis. This paper also covers advanced attack like zero correlation attack, Biclique attack, Algebraic attack, Avalanche effect, key collision attack and key schedule attack. In this cipher,use of block permutation helps the design to improve the throughput. RAGHAV cipher uses 8 bit permutations with S-Box which results in better diffusion mechanism. RAGHAV consumes very less power around 24mW which is less as compared to all existing lightweight ciphers. RAGHAV cipher scores on all design metrics and is best suited for applications like IoT.

This paper presents a unified approach to quantifying the information leakages in the most general code-based masking schemes. Specifically, by utilizing a uniform representation, we highlight first that all code-based masking schemes' side-channel resistance can be quantified by an all-in-one framework consisting of two easy-to-compute parameters (the dual distance and the number of conditioned codewords) from a coding-theoretic perspective. In particular, we use signal-to-noise ratio (SNR) and mutual information (MI) as two complementary metrics, where a closed-form expression of SNR and an approximation of MI are proposed by connecting both metrics to the two coding-theoretic parameters. Secondly, considering the connection between Reed-Solomon code and SSS (Shamir's Secret Sharing) scheme, the SSS-based masking is viewed as a particular case of generalized code-based masking. Hence as a straightforward application, we evaluate the impact of public points on the side-channel security of SSS-based masking schemes, namely the polynomial masking, and enhance the SSS-based masking by choosing optimal public points for it. Interestingly, we show that given a specific security order, more shares in SSS-based masking leak more information on secrets in an information-theoretic sense. Finally, our approach provides a systematic method for optimizing the side-channel resistance of every code-based masking. More precisely, this approach enables us to select optimal linear codes (parameters) for the generalized code-based masking by choosing appropriate codes according to the two coding-theoretic parameters. Summing up, we provide a best-practice guideline for the application of code-based masking to protect cryptographic implementations.

Deep learning has played an important role in many fields. It shows significant potential to cryptanalysis. Differential cryptanalysis is an important method in the field of block cipher cryptanalysis. The key point of differential cryptanalysis is to find a differential distinguisher with longer rounds or higher probability. Firstly, we describe how to construct the ciphertext pairs required for differential cryptanalysis based on deep learning. Based on this, we train 9-round and 8-round differential distinguisher of SIMON32 based on deep residual neural networks. Secondly, we explore the impact of the input difference patterns on the accuracy of the distinguisher based on deep learning. For the input difference with Hamming weight of 1, the accuracy of 9-round distinguisher is different between the first 16 bits and the last 16 bits for non-zero bit positions. This is mainly caused by that its nonlinear operation is mainly concentrated in the first 16 bits. We also find that the accuracy of the distinguisher is different even if the input differences come from the differential characteristics with the same probability. Finally, we construct a last subkey recovery attack on 11-Round SIMON32 with practical data and time complexities. Our attack only uses about 29 chosen plaintexts and only needs about 45s for an attack with a success rate of over 90% using our workstation, which does not exceed 2^18:5 11-round encryption. At the same time, we extend the neural 9-round distinguisher to a 11-round distinguisher based on SAT, and propose a last subkey recovery attack on 13-Round SIMON32 using 2^12:5 chosen plaintexts with a success rate of over 90%. Compared with traditional approach, the complexity of the method based on deep learning is lower, both in time complexity and data complexity.

Plateaued functions as an extension of bent functions play a significant role in cryptography, coding theory, sequences and combinatorics. In 2019, Hod\v{z}i\'{c} et al. designed Boolean plateaued functions in spectral domain and provided some construction methods in spectral domain. However, in their constructions, the Walsh support of Boolean $s$-plateaued functions in $n$ variables, when written as a matrix of order $2^{n-s} \times n$, contains at least $n-s$ columns corresponding to affine functions on $\mathbb{F}_{2}^{n-s}$. They proposed an open problem to provide constructions of Boolean $s$-plateaued functions in $n$ variables whose Walsh support, when written as a matrix, contains strictly less than $n-s$ columns corresponding to affine functions. In this paper, we focus on the constructions of generalized $s$-plateaued functions from $V_{n}$ to $\mathbb{Z}_{p^k}$, where $V_{n}$ is an $n$-dimensional vector space over $\mathbb{F}_{p}$, $p$ is a prime, $k\geq 1$ and $n+s$ is even when $p=2$. Firstly, inspired by the work of Hod\v{z}i\'{c} et al., we give a complete characterization of generalized plateaued functions with affine Walsh support in spectral domain and provide some construction methods of generalized plateaued functions with (non)-affine Walsh support in spectral domain. In our constructions of generalized $s$-plateaued functions with non-affine Walsh support, the Walsh support, when written as a matrix, can contain strictly less than $n-s$ columns corresponding to affine functions. When $p=2, k=1$, these constructions provide an answer to the open problem in \cite{Hodzic2}. Secondly, we provide a generalized indirect sum construction method of generalized plateaued functions, which can also be used to construct (non)-weakly regular generalized bent functions. In particular, we show that the canonical way to construct Generalized Maiorana-McFarland bent functions can be obtained by the generalized indirect sum construction method and we illustrate that the generalized indirect sum construction method can be used to construct bent functions not in the completed Generalized Maiorana-McFarland class. Furthermore, based on this construction method, we give constructions of plateaued functions in the subclass \emph{WRP} of the class of weakly regular plateaued functions and vectorial plateaued functions.

Blockchain has been practiced in crypto-currencies and crossborder banking settlement. However, no clear evidence that a distributed ledger network (or Blockchain) is built within domestic payment systems, although many experts believe that Blockchain has wide applicability in various industries and disciplines. As the author’s best knowledge, no one has published a clear architecture and a feasible framework for a Blockchain-based banking network. Thus, \how Blockchain can be implemented in domestic banking systems" is a big challenge. The most important contribution of this work is to give a feasible and viable framework resolving that problem. The author investigates a Blockchain-based payment framework, more explicitly, a decentralized banking architecture running on the top of existing banking cores. The Blockchain network has two tiers: master nodes (block generators) and normal nodes (validators). The consensus mechanism is introduced as a composition of Proof of Stake, Proof of Reputation and/or practical Byzantine Fault Tolerance. In addition, nomination and approval mechanisms are added to the governance to enhance legal compliance and compatibility with real Fintech space. Some qualitative analysis is provided to show that the proposed Blockchain banking framework offers better security, scalability and decentralization, while easily adapt with different national regulation environments, among other Blockchains. In the application aspects, the framework is implementable and deployable for decentralized payment network and smartcontract infrastructure for domestic markets, then enable a complete and unified digitized space for cloud banking and financial services.

In this note, we conduct a cryptanalysis of the paper published by Zhu et al. on Future Generation Computer Systems in 2021. We demonstrate that their quantum-resistant identity-based proxy signcryption scheme cannot achieve the confidentiality as they claimed.

We construct public-coin time- and space-efficient zero-knowledge arguments for $\mathbf{NP}$. For every time $T$ and space $S$ non-deterministic RAM computation, the prover runs in time $T \cdot \mathrm{polylog}(T)$ and space $S \cdot \mathrm{polylog}(T)$, and the verifier runs in time $n \cdot \mathrm{polylog}(T)$, where $n$ is the input length. Our protocol relies on hidden order groups, which can be instantiated with a trusted setup from the hardness of factoring (products of safe primes), or without a trusted setup using class groups. The argument-system can heuristically be made non-interactive using the Fiat-Shamir transform. Our proof builds on DARK (Bünz et al., Eurocrypt 2020), a recent succinct and efficiently verifiable polynomial commitment scheme. We show how to implement a variant of DARK in a time- and space-efficient way. Along the way we: 1. Identify a significant gap in the proof of security of DARK. 2. Give a non-trivial modification of the DARK scheme that overcomes the aforementioned gap. The modified version also relies on significantly weaker cryptographic assumptions than those in the original DARK scheme. Our proof utilizes ideas from the theory of integer lattices in a novel way. 3. Generalize Pietrzak's (ITCS 2019) proof of exponentiation ($\mathsf{PoE}$) protocol to work with general groups of unknown order (without relying on any cryptographic assumption). In proving these results, we develop general-purpose techniques for working with (hidden order) groups, which may be of independent interest.

The deep learning-based side-channel analysis represents an active research domain. While it is clear that deep learning enables powerful side-channel attacks, the variety of research scenarios often makes the results difficult to reproduce. In this paper, we present AISY - a deep learning-based framework for profiling side-channel analysis. Our framework enables the users to run the analyses and report the results efficiently while maintaining the results' reproducible nature. The framework implements numerous features allowing state-of-the-art deep learning-based analysis. At the same time, the AISY framework allows easy add-ons of user-custom functionalities.

Constant advancements in quantum computing bring closer the reality of current public key encryption schemes becoming computationally feasible to be broken. Many developers working in the industry are just finding out about this and will be rapid to look into changing their web applications to be secure in the quantum era. This paper documents a tried and tested construction for a quantum-resistant, end-to-end encryption scheme which has been implemented in a real-life online web application. The implementation is shown to work well without significant impact on the performance time in comparison to its pre-quantum counterpart.

CRYSTALS-Dilithium as a lattice-based digital signature scheme has been selected as a finalist in the PQC standardization process of NIST. As part of this selection, a variety of software implementations have been evaluated regarding their performance and memory requirements for platforms like x86 or ARM Cortex-M4. In this work, we present a first set of FPGA implementations for the low-end Xilinx Artix-7 platform, evaluating the peculiarities of the scheme in hardware, reflecting all available round-3 parameter sets. As a key component in our analysis, we present results for a specifically adapted NTT core for the Dilithium cryptosystem, optimizing this component for an optimal LUT and FF utilization by efficient use of special purpose DSPs. Presenting our results, we aim to shed further light on the performance of lattice-based cryptography in low-cost and high-throughput configurations and their respective potential use-cases in practice.

The MPC-in-the-head construction (Ishai et al., STOC'07) give zero-knowledge proofs from secure multiparty computation (MPC) protocols. This paper presents an efficient MPC protocol for permuting a vector of values, making use of the relaxed communication model that can be handled by the MPC-in-the-head construction. Our construction allows more efficient ZK proofs for relations expressed in the Random Access Machine (RAM) model. As a standalone application of our construction, we present batch anonymizable ring signatures.

We construct a publicly verifiable, non-interactive delegation scheme for any polynomial size arithmetic circuit with proof-size and verification complexity comparable to those of pairing based zk-SNARKS. Concretely, the proof consists of $O(1)$ group elements and verification requires $O(1)$ pairings and $n$ group exponentiations, where $n$ is the size of the input. While known SNARK-based constructions rely on non-falsifiable assumptions, our construction can be proven sound under any constant size ($k\geq 2$) $k$-Matrix Diffie-Hellman ($k$-MDDH) assumption. However, the size of the reference string as well as the prover's complexity are quadratic in the size of the circuit. This result demonstrates that we can construct delegation from very simple and well-understood assumptions. We consider this work a first step towards achieving practical delegation from standard, falsifiable assumptions. Our main technical contributions are first, the introduction and construction of what we call "no-signaling, somewhere statistically binding commitment schemes". These commitments are extractable for any small part $x_S$ of an opening $x$, where $S\subseteq [n]$ is of size at most $K$. Here $n$ is the dimension of $x$ and $x_S=(x_i)_{i\in S}$. Importantly, for any $S'\subseteq S$, extracting $x_{S'}$ can be done independently of $S\setminus S'$. Second, we use of these commitments to construct more efficient "quasi-arguments"' with no-signaling extraction, introduced by Paneth and Rothblum (TCC 17). These arguments allow extracting parts of the witness of a statement and checking it against some local constraints without revealing which part is checked. We construct pairing-based quasi arguments for linear and quadratic constraints and combine them with the low-depth delegation result of Gonzáles et. al. (Asiacrypt 19) to construct the final delegation scheme.

Quantum computers are about to herald a new age of cryptography. As a fundamental building block in today’s digitalized world, Digital Signature Schemes (DSS) provide the ability to authenticate messages exchanged over untrusted channels. Unfortunately, virtually all currently used DSS are built upon mathematical problems that can efficiently be solved using quantum computers, thus rendering schemes such as RSA and ECC insecure. Due to its conservative security properties, the eXtended Merkle Signature Scheme (XMSS) is an outstanding candidate for a quantum-secure DSS which has already been standardized by NIST and IETF. In this paper we present the first full hardware accelerator for XMSS whose generic design approach allows matching the requirements of several projected use-cases. In particular, we provide a full design exploration regarding the choice of parameters and hash functions to identify configurations for optimal performance and area utilization.

Dynamic group signature (DGS) allows a user to generate a signature on behalf of a group, while preserving anonymity. Although many existing DGS schemes have been proposed in the random oracle model for achieving efficiency, their security proofs require knowledge extractors that cause loose security reductions. In this paper, we first propose a new practical DGS scheme whose security can be proven without knowledge extractors in the random oracle model. Moreover, our scheme can also be proven in the strong security model where an adversary is allowed to generate group managers’ keys maliciously. The efficiency of our scheme is comparable to existing secure DGS schemes in the random oracle model using knowledge extractors. The security of our scheme is based on a new complexity assumption that is obtained by generalizing the Pointcheval-Sanders (PS) assumption. Although our generalized PS (GPS) assumption is interactive, we prove that, under the symmetric discrete logarithm (SDL) assumption, the new GPS assumption holds in the algebraic group model.

Schnorr's signature scheme provides an elegant method to derive signatures with security rooted in the hardness of the discrete logarithm problem, which is a well-studied assumption and conducive to efficient cryptography. However, unlike pairing-based schemes which allow arbitrarily many signatures to be aggregated to a single constant sized signature, achieving significant non-interactive compression for Schnorr signatures and their variants has remained elusive. This work shows how to compress a set of independent EdDSA/Schnorr signatures to roughly half their naive size. Our technique does not employ generic succinct proofs; it is agnostic to both the hash function as well as the specific representation of the group used to instantiate the signature scheme. We demonstrate via an implementation that our aggregation scheme is indeed practical. Additionally, we give strong evidence that achieving better compression would imply proving statements specific to the hash function in Schnorr's scheme, which would entail significant effort for standardized schemes such as SHA2 in EdDSA. Among the others, our solution has direct applications to compressing Ed25519-based blockchain blocks because transactions are independent and normally users do not interact with each other.

We study post-quantum zero-knowledge (classical) protocols that are sound against quantum resetting attacks. Our model is inspired by the classical model of resetting provers (Barak-Goldreich-Goldwasser-Lindell, FOCS `01), providing a malicious efficient prover with oracle access to the verifier's next-message-function, fixed to some initial random tape; thereby allowing it to effectively reset (or equivalently, rewind) the verifier. In our model, the prover has quantum access to the verifier's function, and in particular can query it in superposition. The motivation behind quantum resettable soundness is twofold: First, ensuring a strong security guarantee in scenarios where quantum resetting may be possible (e.g., smart cards, or virtual machines). Second, drawing intuition from the classical setting, we hope to improve our understanding of basic questions regarding post-quantum zero knowledge. We prove the following results: Black-Box Barriers: Quantum resetting exactly captures the power of black-box zero knowledge quantum simulators. Accordingly, resettable soundness cannot be achieved in conjunction with black-box zero knowledge, except for languages in $\BQP$. Leveraging this, we prove that constant-round public-coin, or three message, protocols cannot be black-box post-quantum zero-knowledge. For this, we show how to transform such protocols into quantumly resettably sound ones. The transformations are similar to classical ones, but their analysis is significantly more challenging due to the essential difference between classical and quantum resetting. A Resettably-Sound Non-Black-Box Zero-Knowledge Protocol: Under the (quantum) Learning with Errors assumption and quantum fully-homomorphic encryption, we construct a post-quantum resettably-sound zero knowledge protocol for $\NP$. We rely on non-black-box simulation techniques, thus overcoming the black-box barrier for such protocols. From Resettable Soundness to The Impossibility of Quantum Obfuscation: Assuming one-way functions, we prove that any quantumly-resettably-sound zero-knowledge protocol for $\NP$ implies the impossibility of quantum obfuscation. Combined with the above result, this gives an alternative proof to several recent results on quantum unobfuscatability.

This article discusses the decoding of Gabidulin codes and shows how to extend the usual decoder to any supercode of a Gabidulin code at the cost of a significant decrease of the decoding radius. Using this decoder, we provide polynomial time attacks on the rank–metric encryption schemes Ramesses and Liga.

In this paper, we improve the theoretical background of the attacks on the DSA schemes given in [1, 29], and we present some new more practical attacks.

We study the round complexity of secure multiparty computation (MPC) in the challenging model where full security, including guaranteed output delivery, should be achieved at the presence of an active rushing adversary who corrupts up to half of parties. It is known that 2 rounds are insufficient in this model (Gennaro et al., Crypto 2002), and that 3 round protocols can achieve computational security under public-key assumptions (Gordon et al., Crypto 2015; Ananth et al., Crypto 2018; and Badrinarayanan et al., Asiacrypt 2020). However, despite much effort, it is unknown whether public-key assumptions are inherently needed for such protocols, and whether one can achieve similar results with security against computationally-unbounded adversaries. In this paper, we use Minicrypt-type assumptions to realize 3-round MPC with full and active security. Our protocols come in two flavors: for a small (logarithmic) number of parties $n$, we achieve an optimal resiliency threshold of $t\leq \lfloor (n-1)/2\rfloor$, and for a large (polynomial) number of parties we achieve an almost-optimal resiliency threshold of $t\leq 0.5n(1-\epsilon)$ for an arbitrarily small constant $\epsilon > 0$. Both protocols can be based on sub-exponentially hard injective one-way functions in the plain model. If the parties have an access to a collision resistance hash function, we can derive statistical everlasting security for every NC1 functionality, i.e., the protocol is secure against adversaries that are computationally bounded during the execution of the protocol and become computationally unlimited after the protocol execution. As a secondary contribution, we show that in the strong honest-majority setting ($t<n/3$), every NC1 functionality can be computed in 3 rounds with everlasting security and complexity polynomial in $n$ based on one-way functions. Previously, such a result was only known based on collision-resistance hash function.

This paper presents Checklist, a system for private blocklist lookups. In Checklist, a client can determine whether a particular string appears on a server-held blocklist of strings, without leaking its string to the server. Checklist is the first blocklist-lookup system that (1) leaks no information about the client's string to the server, (2) does not require the client to store the blocklist in its entirety, and (3) allows the server to respond to the client's query in time sublinear in the blocklist size. To make this possible, we construct a new two-server private-information-retrieval protocol that is both asymptotically and concretely faster, in terms of server-side time, than those of prior work. We evaluate Checklist in the context of Google's “Safe Browsing” blocklist, which all major browsers use to prevent web clients from visiting malware-hosting URLs. Today, lookups to this blocklist leak partial hashes of a subset of clients' visited URLs to Google's servers. We have modified Firefox to perform Safe-Browsing blocklist lookups via Checklist servers, which eliminates the leakage of partial URL hashes from the Firefox client to the blocklist servers. This privacy gain comes at the cost of increasing communication by a factor of 3.3×, and the server-side compute costs by 9.8×. Checklist reduces end-to-end server-side costs by 6.7×, compared to what would be possible with prior state-of-the-art two-server private information retrieval.

Single Secret Leader Election (SSLE) protocols allow a set of users to elect a leader among them so that the identity of the winner remains secret until she decides to reveal herself. This notion was formalized and implemented in a recent result by Boneh, et al. (ACM Advances on Financial Technology 2020) and finds important applications in the area of Proof of Stake blockchains. In this paper we put forward new SSLE solutions that advance the state of the art both from a theoretical and a practical front. On the theoretical side we propose a new definition of SSLE in the universal composability framework. We believe this to be the right way to model security in highly concurrent contexts such as those of many blockchain related applications. Next, we propose a UC-realization of SSLE from public key encryption with keyword search (PEKS) and based on the ability of distributing the PEKS key generation and encryption algorithms. Finally, we give a concrete PEKS scheme with efficient distributed algorithms for key generation and encryption and that allows us to efficiently instantiate our abstract SSLE construction. Our resulting SSLE protocol is very efficient, does not require participants to store any state information besides their secret keys and guarantees so called on-chain efficiency: the information to verify an election in the new block should be of size at most logarithmic in the number of participants. To the best of our knowledge, this is the first SSLE scheme achieving this property along with practical efficiency.

One of the primary research challenges in Attribute-Based Encryption (ABE) is constructing and proving cryptosystems that are adaptively secure. To date the main paradigm for achieving adaptive security in ABE is dual system encryption. However, almost all such solutions in bilinear groups rely on (variants of) either the subgroup decision problem over composite order groups or the decision linear assumption. Both of these assumptions are decisional rather than search assumptions and the target of the assumption is a source or bilinear group element. This is in contrast to earlier selectively secure ABE systems which can be proven secure from either the decisional or search Bilinear Diffie-Hellman assumption. In this work we make progress on closing this gap by giving a new ABE construction for the subset functionality and prove security under the Search Bilinear Diffie-Hellman assumption. We first provide a framework for proving adaptive security in Attribute-Based Encryption systems. We introduce a concept of ABE with deletable attributes where any party can take a ciphertext encrypted under the attribute string $x \in \{0, 1\}^n$ and modify it into a ciphertext encrypted under any string $x' \in \{0, 1, \bot\}^n$ where $x'$ is derived by replacing any bits of $x$ with $\bot$ symbols (i.e. ``deleting" attributes of $x$). The semantics of the system are that any private key for a circuit $C$ can be used to decrypt a ciphertext associated with $x'$ if none of the input bits read by circuit $C$ are $\bot$ symbols and $C(x') = 1$. We show a pathway for combining ABE with deletable attributes with constrained psuedorandom functions to obtain adaptively secure ABE building upon the recent work of Tsabary. Our new ABE system will be adaptively secure and be a ciphertext-policy ABE that supports the same functionality as the underlying constrained PRF as long as the PRF is ``deletion conforming". Here we also provide a simple constrained PRF construction that gives subset functionality. Our approach enables us to access a broader array of Attribute-Based Encryption schemes support deletion of attributes. For example, we show that both the Goyal~et al.~(GPSW) and Boyen ABE schemes can trivially handle a deletion operation. And, by using a hardcore bit variant of GPSW scheme we obtain an adaptively secure ABE scheme under the Search Bilinear Diffie-Hellman assumption in addition to pseudo random functions in NC1. This gives the first adaptively secure ABE from a search assumption as all prior work relied on decision assumptions over source group elements.

Systems with distributed trust have attracted growing research attention and seen increasing industry adoptions. In these systems, critical secrets are distributed across N servers, and computations are performed privately using secure multi-party computation (SMPC). Authentication for these distributed-trust systems faces two challenges. The first challenge is ease-of-use. Namely, how can an authentication protocol maintain its user experience without sacrificing security? To avoid a central point of attack, a client needs to authenticate to each server separately. However, this would require the client to authenticate N times for each authentication factor, which greatly hampers usability. The second challenge is privacy, as the client’s sensitive profiles are now exposed to all N servers under different trust domains, which creates N times the attack surface for the profile data. We present MPCAuth, a multi-factor authentication system for distributed-trust applications that address both challenges. Our system enables a client to authenticate to N servers independently with the work of only one authentication. In addition, our system is profile hiding, meaning that the client’s authentication profiles such as her email username, phone number, passwords, and biometric features are not revealed unless all servers are compromised. We propose secure and practical protocols for an array of widely adopted authentication factors, including email passcodes, SMS messages, U2F, security questions/passwords, and biometrics. Our system finds practical applications in the space of cryptocurrency custody and collaborative machine learning, and benefits future adoptions of distributed-trust applications.

While numerous physically unclonable functions (PUFs) were proposed in recent years, the conventional PUF-based authentication model is centralized by the data of challenge-response pairs (CRPs), particularly when $n$-party authentication is required. In this work, we propose a novel concept of clonable PUF (CPUF), wherein two or more PUFs having equivalent responses are manufactured to facilitate decentralized authentication. By design, cloning is only possible in the fabrication period and the responses are determined based on the variability induced during the fabrication. We establish the usage model and the circuit design of CPUFs. Numerical experiments using a circuit simulator show an ideal matching rate of responses between the CPUFs.

The ever-growing size of the Bitcoin UTXO state is a factor preventing nodes with limited storage capacity from validating transactions. Cryptographic accumulators, such as Merkle trees, offer a viable solution to the problem. Full nodes create a Merkle tree from the UTXO set, while stateless nodes merely store the root of the Merkle tree. When provided with a proof, stateless nodes can verify that a transaction's inputs belong to the UTXO set. In this work, we present a systematic study of Merkle tree based accumulators, with a focus on factors that reduce the proof size. Based on the observation that UTXOs typically have a short lifetime, we propose that recent UTXOs be co-located in the tree. When proofs for different transactions are batched, such a design reduces the per-transaction proof size. We provide details of our implementation of this idea, describing certain optimizations that further reduce the proof size in practice. On Bitcoin data before August 2019, we show that our design achieves a 4.6x reduction in proof size vis-a-vis UTREEXO [Dryja 2019], which is a different Merkle-tree based system designed to support stateless nodes.

We present a non-interactive publicly verifiable secret sharing scheme where a dealer can construct a Shamir secret sharing of a field element and confidentially yet verifiably distribute shares to multiple receivers. We also develop a non-interactive publicly verifiable resharing scheme where existing share holders of a Shamir secret sharing can create a new Shamir secret sharing of the same secret and distribute it to a set of receivers in a confidential, yet verifiable manner. A public key may be associated with the secret being shared in the form of a group element raised to the secret field element. We use our verifiable secret sharing scheme to construct a non-interactive distributed key generation protocol that creates such a public key together with a secret sharing of the discrete logarithm. We also construct a non-interactive distributed resharing protocol that preserves the public key but creates a fresh secret sharing of the secret key and hands it to a set of receivers, which may or may not overlap with the original set of share holders. Our protocols build on a new pairing-based CCA-secure public-key encryption scheme with forward secrecy. As a consequence our protocols can use static public keys for participants but still provide compromise protection. The scheme uses chunked encryption, which comes at a cost, but the cost is offset by a saving gained by our ciphertexts being comprised only of source group elements and no target group elements. A further efficiency saving is obtained in our protocols by extending our single-receiver encryption scheme to a multi-receiver encryption scheme, where the ciphertext is up to a factor 5 smaller than just having single-receiver ciphertexts. The non-interactive key management protocols are deployed on the Internet Computer to facilitate the use of threshold BLS signatures. The protocols provide a simple interface to remotely create secret-shared keys to a set of receivers, to refresh the secret sharing whenever there is a change of key holders, and provide proactive security against mobile adversaries.

A verifiable shuffle of known values is a method for proving that a collection of commitments opens to a given collection of known messages, without revealing a correspondence between commitments and messages. We propose the first practical verifiable shuffle of known values for lattice-based commitments. Shuffles of known values have many applications in cryptography, and in particular in electronic voting. We use our verifiable shuffle of known values to build a practical lattice-based cryptographic voting system that supports complex ballots. Our scheme is also the first construction from candidate post-quantum secure assumptions to defend against compromise of the voter's computer using return codes. We implemented our protocol and present benchmarks of its computational runtime. The size of the verifiable shuffle is $22 \tau$ KB and takes time $33 \tau$ ms for $\tau$ voters. This is around $5$ times faster and $40$ % smaller per vote than the lattice-basedvoting scheme by del Pino et al. (ACM CCS 2017), which can only handle yes/no-elections.

In the era of cloud computing, massive quantities of data are encrypted and uploaded to the cloud to realize a variety of applications and services while protecting user confidentiality. Accordingly, the formulation of methods for efficiently searching encrypted data has become a critical problem. Public-key encryption with keyword search is an efficient solution that allows the data owner to generate encrypted keywords for a given document while also allowing the data user to generate the corresponding trapdoor for searching. Huang and Li proposed a public-key authenticated encryption with keyword search (PAEKS) scheme to resist keyword guessing attacks, where the data owner not only encrypts keywords but also authenticates them. However, existing PAEKS-related schemes carry a trade-off between efficiency, storage cost, and security. In this paper, we introduce a novel framework, called identity-certifying authority-aided identity-based searchable encryption, which has the advantage of reducing storage space while remaining the efficiency and security. We formally define the system model and desired security requirements to represent attacks in a real scenario. In addition, we propose a provably secure scheme based on the gap bilinear Diffie--Hellman assumption and experimentally evaluate our scheme in terms of its performance and theoretical features against its state-of-the-art counterparts.

In this article we look at the question of the security of Data Encryption Standard (DES) against non-linear polynomial invariant attacks. Is this sort of attack also possible for DES? We present a simple proof of concept attack on DES where a product of 5 polynomials is an invariant for 2 rounds of DES. Furthermore we present numerous additional examples of invariants with higher degrees. We analyse the success probability when the Boolean functions are chosen at random and compare to DES S-boxes. For more complex higher degree attacks the difficulties disappear progressively and up to 100 % of all Boolean functions in 6 variables are potentially vulnerable. A major limitation for all our attacks, is that they work only for a fraction of the key space. However in some cases, this fraction of the key space is very large for the full 16-round DES.

Format-Preserving Encryption (FPE) schemes accept plaintexts from any finite set of values (such as social security numbers or birth dates) and produce ciphertexts that belong to the same set. They are extremely useful in practice since they make it possible to encrypt existing databases or communication packets without changing their format. Due to industry demand, NIST had standardized in 2016 two such encryption schemes called FF1 and FF3. They immediately attracted considerable cryptanalytic attention with decreasing attack complexities. The best currently known attack on the Feistel construction FF3 has data and memory complexity of ${O}(N^{11/6})$ and time complexity of ${O}(N^{17/6})$, where the input belongs to a domain of size $N \times N$. In this paper, we present and experimentally verify three improved attacks on FF3. Our best attack achieves the tradeoff curve $D=M=\tilde{O}(N^{2-t})$, $T=\tilde{O}(N^{2+t})$ for all $t \leq 0.5$. In particular, we can reduce the data and memory complexities to the more practical $\tilde{O}(N^{1.5})$, and at the same time, reduce the time complexity to $\tilde{O}(N^{2.5})$. We also identify another attack vector against FPE schemes, the related-domain attack. We show how one can mount powerful attacks when the adversary is given access to the encryption under the same key in different domains, and show how to apply it to efficiently distinguish FF3 and FF3-1 instances.

We prove that Kilian's four-message succinct argument system is post-quantum secure in the standard model when instantiated with any probabilistically checkable proof and any collapsing hash function (which in turn exist based on the post-quantum hardness of Learning with Errors). This yields the first post-quantum succinct argument system from any falsifiable assumption. At the heart of our proof is a new quantum rewinding procedure that enables a reduction to repeatedly query a quantum adversary for accepting transcripts as many times as desired. Prior techniques were limited to a constant number of accepting transcripts.

We introduce a class of interactive protocols, which we call *sumcheck arguments*, that establishes a novel connection between the sumcheck protocol (Lund et al. JACM 1992) and folding techniques for Pedersen commitments (Bootle et al. EUROCRYPT 2016). We define a class of sumcheck-friendly commitment schemes over modules that captures many examples of interest, and show that the sumcheck protocol applied to a polynomial associated with the commitment scheme yields a succinct argument of knowledge for openings of the commitment. Building on this, we additionally obtain succinct arguments for the NP-complete language R1CS over certain rings. Sumcheck arguments enable us to recover as a special case numerous prior works in disparate cryptographic settings (discrete logarithms, pairings, groups of unknown order, lattices), providing one framework to understand them all. Further, we answer open questions raised in prior works, such as obtaining a lattice-based succinct argument from the SIS assumption for satisfiability problems over rings.

We elaborate an approach for determining the order of an elliptic curve from the family $\mathcal{E}_p = \{E_a: y^2 = x^3 + a \pmod p, a \not = 0\}$ where $p$ is a prime number $> 3$. The essence of this approach consists in combining the well-known Hasse bound with an explicit formula for that order reduced to modulo $p$. It allows to advance an efficient technique of complexity $\tilde{O}(\log^2 p)$ for computing simultaneously the six orders associated with the family $\mathcal{E}_p$ when $p \equiv 1 \pmod 3$, thus improving the best known algorithmic solution for that problem with almost an order of magnitude.

The high demand for customer-centric applications such as secure cloud storage laid the foundation for the development of user-centric security protocols with multiple security features in recent years. But, the current state-of-art techniques primarily emphasized only one type of security feature i.e., either homomorphism or non-malleability. In order to fill this gap and provide a common platform for both homomorphic and non-malleable cloud applications, we have introduced a new public key based probabilistic encryption switching (i.e., homomorphism to/from non-malleability property switching during the encryption phase without changing the underlying security structure) scheme by introducing a novel Contiguous Chain Bit Pair Encryption (CC-BPE) and Discrete Chain Bit Pair Encryption (DC-BPE) techniques for plaintext bits encryption and using quadratic residuosity based trapdoor function of Freeman et al. [13] for intermediate ciphertext connections. The proposed scheme generates O ( m +2 log N ) bits of ciphertext where m &#8712; N and m < n , n &#8712; N is the plaintext size, N is the RSA composite. This security extension would be helpful to cover both homomorphism and non-malleability cloud applications. The superior performance of the proposed scheme has been tested in comparison to existing methods and is reported in this paper.

Key-Alternating Feistel (KAF) ciphers are a popular variant of Feistel ciphers whereby the round functions are defined as $x \mapsto F(k_i \oplus x)$, where k_i are the round keys and F is a public random function. Most Feistel ciphers, such as DES, indeed have such a structure. However, the security of this construction has only been studied in the classical CPA/CCA models. We provide the first security analysis of KAF ciphers in the key-dependent message (KDM) attack model, where plaintexts can be related to the private key. This model is motivated by cryptographic schemes used within application scenarios such as full-disk encryption or anonymous credential systems. We show that the four-round KAF cipher, with a single function $F$ reused across the rounds, provides KDM security for a non-trivial set of KDM functions. To do so, we develop a generic proof methodology, based on the H-coefficient technique, that can ease the analysis of other block ciphers in such strong models of security.

With the development of Bitcoin, Ethereum and other projects, blockchain has been widely concerned with its outstanding characteristics such as non-centralization, collective maintenance, openness and transparency. Blockchain has been widely used in finance, logistics, copyright and other fields. However, as transactions are stored in plaintext in the blockchain for public verification, the privacy of users is not well guaranteed such that many financial applications can not be adopted widely. How to securely and economically protect the privacy of transactions is worth further research. In this paper, we have proposed two efficient and regulatory confidential transaction schemes using homomorphic encryption and zero-knowledge proof. ERCO, the first scheme, turns the standard ElGamal algorithm to be additively homomorphic and expands it into four ciphertexts such that $(m,r)$ in the transaction can be decrypted. Its security can be reduced to DDH assumption and the transaction size is less. PailGamal, the second scheme, is based on the combination of Paillier and ElGamal algorithms. Its security can be reduced to DDH assumption and it empowers regulators greater powers to obtain transaction-related specific content. In contrast to other ElGamal-based schemes, PailGamal makes any token amount directly decrypted without calculating a discrete logarithm problem. As any $(m,r)$ in transactions can be decrypted directly, game theory is applied to further reduce transaction size.

Following the current direction in Deep Learning (DL), more recent papers have started to pay attention to the efficiency of DL in breaking cryptographic implementations. Several works focus on techniques to boost the efficiency of existing architectures by data augmentation, regularization, etc. In this work, we investigate using mixup data augmentation \cite{zhang2017mixup} in order to improve the efficiency of DL-based Side-Channel Attacks (SCAs). We validated the soundness of the mixup on real traces collected from the ChipWhisperer board \cite{cw} and from the ASCAD database \cite{benadjila2020deep}. The obtained results have proven that using mixup data augmentation decreases the number of measurements needed to reveal the secret key compared to the non-augmented case.

We propose Veksel, a simple generic paradigm for constructing efficient non-interactive coin mixes. The central component in our work is a concretely efficient proof $\pi_{one-many}$ that a homomorphic commitment $c^*$ is a rerandomization of a commitment $c \in \{c_1, \ldots, c_\ell \}$ without revealing $c$. We formalize anonymous account-based cryptocurrency as a universal composability functionality and show how to efficiently instantiate the functionality using $\pi_{one-many}$ in a straightforward way (Veksel). We instantiate and implement $\pi_{one-many}$ from Strong-RSA, DDH and random oracles targeting $\approx 112$ bits of security. The resulting NIZK has constant size ($|\pi_{one-many}| = 5.3 \text{KB}$) and constant proving/verification time ($\approx 90 \text{ms}$), on an already accumulated set. Compared to Zerocash—which offers comparable marginal verification cost and an anonymity set of every existing transaction—our transaction are larger ($6.2$ KB) and verification is slower. On the other hand, Veksel relies on more well-studied assumptions, does not require an expensive trusted setup for proofs and is arguably simpler (from an implementation standpoint). Additionally we think that $\pi_{one-many}$ might be interesting in other applications, e.g. proving possession of some credential posted on-chain. The efficiency of our concrete NIZK relies on a new Ristretto-friendly elliptic curve, Jabberwock, that is of independent interest: it can be used to efficiently prove statements on "committments on commitments" in Bulletproofs.

Machine-checked cryptography aims to reinforce confidence in the primitives and protocols that underpin all digital security. However, machine-checked proof techniques remain in practice difficult to apply to real-world constructions. A particular challenge is structured reasoning about complex constructions at different levels of abstraction. The State-Separating Proofs (SSP) methodology for guiding cryptographic proofs by Brzuska, Delignat-Lavaud, Fournet, Kohbrok and Kohlweiss (ASIACRYPT'18) is a promising contestant to support such reasoning. In this work, we explore how SSPs can guide EasyCrypt formalisations of proofs for modular constructions. Concretely, we propose a mapping from SSP to EasyCrypt concepts which enables us to enhance cryptographic proofs with SSP insights while maintaining compatibility with existing EasyCrypt proof support. To showcase our insights, we develop a formal security proof for the Cryptobox family of public-key authenticated encryption schemes based on non-interactive key exchange and symmetric authenticated encryption. As a side effect, we obtain the first formal security proof for NaCl's instantiation of Cryptobox. Finally we discuss changes to the practice of SSP on paper and potential implications for future tool designers.

We present Spectrum, a high-bandwidth, metadata-private file broadcasting system. In Spectrum, a small number of broadcasters share a file with many subscribers via two or more non-colluding broadcast servers. Subscribers generate cover traffic by sending dummy files, hiding which users are broadcasters and which users are only consumers. Spectrum optimizes for a setting with few broadcasters and many subscribers—as is common to many real-world applications—to drastically improve throughput over prior work. Malicious clients are prevented from disrupting broad- casts using a novel blind access control technique that allows servers to reject malformed requests. Spectrum also prevents deanonymization of broadcasters by malicious servers deviating from protocol. Our techniques for providing malicious security are applicable to other systems for anonymous broad- cast and may be of independent interest. We implement and evaluate Spectrum. Compared to the state-of-the-art in cryptographic anonymous communication systems, Spectrum’s peak throughput is 4–120,000× faster (and commensurately cheaper) in a broadcast setting. Deployed on two commodity servers, Spectrum allows broad- casters to share 1GB (two full-length 720p documentary movies) in 13h 20m with an anonymity set of 10,000 (for a total cost of about $6.84). These costs scale roughly linearly in the size of the file and total number of users, and Spectrum parallelizes trivially with more hardware.

As the world adopts Artificial Intelligence (AI), the privacy risks are many. AI can improve our lives, but may leak or misuse our private data. Private AI is based on Homomorphic Encryption (HE), a new encryption paradigm which allows the cloud to operate on private data in encrypted form, without ever decrypting it, enabling private training and private prediction with AI algorithms. The 2016 ICML CryptoNets [26] paper demonstrated for the first time evaluation of neural net predictions on homomorphically encrypted data, and opened new research directions combining machine learning and cryptography. The security of Homomorphic Encryption is based on hard problems in mathematics involving lattices, a candidate for post-quantum cryptography. This paper gives an overview of my Invited Plenary Lecture at the International Congress of Industrial and Applied Mathematics (ICIAM), explaining Homomorphic Encryption, Private AI, and real-world applications.

What is the funniest number in cryptography? 0. The reason is that for all x, x*0 = 0, i.e., the equation is always satisfied no matter what x is. This article discusses crypto bugs in four BLS signatures’ libraries (ethereum/py ecc, supranational/blst, herumi/bls, sigp/milagro bls) that revolve around 0. Furthermore, we develop ”splitting zero” attacks to show a weakness in the proof-of-possession aggregate signature scheme standardized in BLS RFC draft v4. Eth2 bug bounties program generously awarded $35,000 in total for the reported bugs.

Succinct non-interactive arguments of knowledge (SNARKs) enable non-interactive efficient verification of NP computations and admit short proofs. However, all current SNARK constructions assume that the statements to be proven can be efficiently represented as either Boolean or arithmetic circuits over finite fields. For most constructions, the choice of the prime field $\mathbb{F}_p$ is limited by the existence of groups of matching order for which secure bilinear maps exist. In this work we overcome such restrictions and enable verifying computations over rings. We construct the first designated-verifier SNARK for statements which are represented as circuits over a broader kind of commutative rings, namely those containing big enough exceptional sets. Exceptional sets consist of elements such that their pairwise differences are invertible. Our contribution is threefold: We first introduce Quadratic Ring Programs (QRPs) as a characterization of NP where the arithmetic is over a ring. Second, inspired by the framework in Gennaro, Gentry, Parno and Raykova (EUROCRYPT 2013), we design SNARKs over rings in a modular way. We generalize pre-existent assumptions employed in field-restricted SNARKs to encoding schemes over rings. As our encoding notion is generic in the choice of the ring, it is amenable to different settings. Finally, we propose two applications for our SNARKs. Our first application is verifiable computation over encrypted data, specifically for evaluations of Ring- LWE-based homomorphic encryption schemes. In the second one, we use Rinocchio to naturally prove statements about circuits over e.g. $\mathbb{Z}_{2^{64}}$, which closely matches real-life computer architectures such as standard CPUs.

The increasing deployment of end-to-end encrypted communications services has ignited a debate between technology firms and law enforcement agencies over the need for lawful access to encrypted communications. Unfortunately, existing solutions to this problem suffer from serious technical risks, such as the possibility of operator abuse and theft of escrow key material. In this work we investigate the problem of constructing law enforcement access systems that mitigate the possibility of unauthorized surveillance. We first define a set of desirable properties for an abuse-resistant law enforcement access system (ARLEAS), and motivate each of these properties. We then formalize these definitions in the Universal Composability framework, and present two main constructions that realize this definition. The first construction enables prospective access, allowing surveillance only if encryption occurs after a warrant has been issued and activated. The second, more powerful construction, allows retrospective access to communications that occurred prior to a warrant's issuance. To illustrate the technical challenge of constructing the latter type of protocol, we conclude by investigating the minimal assumptions required to realize these systems.

The KEM BIKE is a Round-3 alternative finalist in the NIST Post-Quantum Cryptography project. It uses the FO$^{\not \bot}$ transformation so that an instantiation with a decoder that has a DFR of $2^{-128}$ will make it IND-CCA secure. The current BIKE design does not bind the randomness of the ciphertexts (i.e., the error vectors) to a specific public key. We propose to change this design, although currently, there is no attack that leverages this property. This modification can be considered if BIKE is eventually standardized.

Tradeoff attacks on symmetric ciphers can be considered as the generalization of the exhaustive search. Their main objective is reducing the time complexity by exploiting the memory after preparing very large tables at a cost of exhaustively searching all the space during the precomputation phase. It is possible to utilize data (plaintext/ciphertext pairs) in some cases like the internal state recovery attacks for stream ciphers to speed up further both online and offline phases. However, how to take advantage of data in a tradeoff attack against block ciphers for single key recovery cases is still unknown. We briefly assess the state of art of tradeoff attacks on symmetric ciphers, introduce some open problems and discuss the security criterion on state sizes. We discuss the strict lower bound for the internal state size of keystream generators and propose more practical and fair bound along with our reasoning. The adoption of our new criterion can break a fresh ground in boosting the security analysis of small keystream generators and in designing ultra-lightweight stream ciphers with short internal states for their usage in specially low source devices such as IoT devices, wireless sensors or RFID tags.

In this paper, we describe Oblivious TLS: an MPC protocol that we prove UC secure against a majority of actively corrupted parties. The protocol securely implements TLS 1.3. Thus, any party P who runs TLS can communicate securely with a set of servers running Oblivious TLS; P does not need to modify anything, or even be aware that MPC is used. Applications of this include communication between servers who offer MPC services and clients, to allow the clients to easily and securely provide inputs or receive outputs. Also, an organization could use Oblivious TLS to improve in-house security while seamlessly connecting to external parties. Our protocol runs in the preprocessing model, and we did a preliminary non-optimized implementation of the on-line phase. In this version, the hand-shake completes in about 1 second. Performance of the record protocol depends, of course, on the encryption scheme used. We designed an MPC friendly scheme which achieved a throughput of about 300 KB/sec. Based on implementation results from other work, the standard AES-GCM can be expected to be as fast, although our implementation did not do as well.

Edge computing and caching have emerged as key technologies in the future communication network to enhance the user experience, reduce backhaul traffic, and enable various Internet of Things applications. Different from conventional resources like CPU and memory that can be utilized by only one party at a time, a cached data item, which can be considered as a public good, can serve multiple parties simultaneously. Therefore, instead of independent caching, it is beneficial for the parties (e.g., Telcos) to cooperate and proactively store their common items in a shared cache that can be accessed by all the parties at the same time. In this work, we present MPCCache, a novel privacy-preserving Multi-party Cooperative Cache sharing framework, which allows multiple network operators to determine a set of common data items with the highest access frequencies to be stored in their capacity-limited shared cache while guaranteeing the privacy of their individual datasets. The technical core of our MPCCache is a new construction that allows multiple parties to compute a specific function on the intersection set of their datasets, without revealing the intersection itself to any party. We evaluate our protocols to demonstrate their practicality and show that MPCCache scales well to large datasets and achieves a few hundred times faster compared to a baseline scheme that optimally combines existing MPC protocols.

We present a new construction of maliciously-secure, two-round multiparty computation (MPC) in the CRS model, where the first message is reusable an unbounded number of times. The security of the protocol relies on the Learning Parity with Noise (LPN) assumption with inverse polynomial noise rate 1/n^{1-epsilon} for small enough epsilon, where n is the LPN dimension. Prior works on reusable two-round MPC required assumptions such as DDH or LWE that imply some flavor of homomorphic computation. We obtain our result in two steps: We obtain the first construction of this primitive from an assumption that is not known to support general homomorphic operations. In the first step, we construct a two-round MPC protocol in the silent pre-processing model (Boyle et al., Crypto 2019). Specifically, the parties engage in a computationally inexpensive setup procedure that generates some correlated random strings. Then, the parties commit to their inputs. Finally, each party sends a message depending on the function to be computed, and these messages can be decoded to obtain the output. Crucially, the complexity of the pre-processing phase and the input commitment phase do not grow with the size of the circuit to be computed. We call this multiparty silent NISC, generalizing the notion of two-party silent NISC of Boyle et al. (CCS 2019). We provide a construction of multiparty silent NISC from LPN in the random oracle model. In the second step, we give a transformation that removes the pre-processing phase and use of random oracle from the previous protocol. This transformation additionally adds (unbounded) reusability of the first round message, giving the first construction of reusable two-round MPC from the LPN assumption. This step makes novel use of randomized encoding of circuits (Applebaum et al., FOCS 2004) and a variant of the ``tree of MPC messages" technique of Ananth et al. and Bartusek et al. (TCC 2020).

Fully homomorphic encryption (FHE) allows to compute any function on encrypted values. However, in practice, there is no universal FHE scheme that is efficient in all possible use cases. In this work, we show that FHE schemes suitable for arithmetic circuits (e.g. BGV or BFV) have a similar performance as FHE schemes for non-arithmetic circuits (TFHE) in basic comparison tasks such as less-than, maximum and minimum operations. Our implementation of the less-than function in the HElib library is up to 3 times faster than the prior work based on BGV/BFV. It allows to compare a pair of 64-bit integers in 11 milliseconds, sort 64 32-bit integers in 19 seconds and find the minimum of 64 32-bit integers in 9.5 seconds on an average laptop without multi-threading.

All-or-nothing transforms have been defined as bijective mappings on all s-tuples over a specified finite alphabet. These mappings are required to satisfy certain "perfect security" conditions specified using entropies of the probability distribution defined on the input s-tuples. Alternatively, purely combinatorial definitions of AONTs have been given, which involve certain kinds of "unbiased arrays". However, the combinatorial definition makes no reference to probability definitions. In this paper, we examine the security provided by AONTs that satisfy the combinatorial definition. The security of the AONT can depend on the underlying probability distribution of the s-tuples. We show that perfect security is obtained from an AONT if and only if the input s-tuples are equiprobable. However, in the case where the input s-tuples are not equiprobable, we still achieve a weaker security guarantee. We also consider the use of randomized AONTs to provide perfect security for a smaller number of inputs, even when those inputs are not equiprobable.

Efficient rank estimation algorithms are of prime interest in security evaluation against side-channel attacks (SCA) and recently also for password strength estimators. In a side channel setting it allows estimating the remaining security after an attack has been performed, quantified as the time complexity and the memory consumption required to brute force the key given the leakages as probability distributions over $d$ subkeys (usually key bytes). In password strength estimators the rank estimation allows estimating how many attempts a password cracker would need until it finds a given password. We propose ESrank, the first rank estimation algorithm with a bounded error ratio: its error ratio is bounded by $\gamma^{2d-2}$, for any probability distribution, where $d$ is the number of subkey dimensions and $\gamma>1$ can be chosen according to the desired accuracy. ESrank is also the first rank estimation algorithm that enjoys provable poly-logarithmic time- and space-complexity. Our main idea is to use exponential sampling to drastically reduce the algorithm's complexity. We evaluated the performance of ESrank on real SCA and password strength corpora. We show ESrank gives excellent rank estimation with roughly a 1-bit margin between lower and upper bounds in less than 1 second on the SCA corpus and 4 seconds preprocessing time and 7$\mu$sec lookup time on the password strength corpus.

In recent years, various deep learning techniques have been exploited in side channel attacks, with the anticipation of obtaining more appreciable attack results. Most of them concentrate on improving network architectures or putting forward novel algorithms, assuming that there are adequate profiling traces available to train an appropriate neural network. However, in practical scenarios, profiling traces are probably insufficient, which makes the network learn deficiently and compromises attack performance. In this paper, we investigate a kind of data augmentation technique, called mixup, and first propose to exploit it in deep learning-based side channel attacks, for the purpose of expanding the profiling set and facilitating the chances of mounting a successful attack. We perform Correlation Power Analysis for generated traces and original traces, and discover that there exists consistency between them regarding leakage information. Our experiments show that mixup is truly capable of enhancing attack performance especially for insufficient profiling traces. Specifically, when the size of the training set is decreased to 30% of the original set, mixup can significantly reduce acquired attacking traces. We test three mixup parameter values and conclude that generally all of them can bring about improvements. Besides, we compare three leakage models and unexpectedly find that least significant bit model, which is less frequently used in previous works, actually surpasses prevalent identity model and hamming weight model in terms of attack results.

At CRYPTO 2019, Gohr improved attacks on Speck32/64 using deep learning. In 2020, Chen et al. proposed a neural aided statistical attack that is more generic. Chen et’s attack is based on a statistical distinguisher that covers a prepended differential transition and a neural distinguisher. When the probability of the differential transition is pq, its impact on the data complexity is O(p^{-2}q^{-2}. In this paper, we propose an improved neural aided statistical attack based on a new concept named Homogeneous Set. Since partial random ciphertext pairs are filtered with the help of homogeneous sets, the differential transition’s impact on the data complexity is reduced to O(p^{&#8722;1}q^{&#8722;2}). As a demonstration, the improved neural aided statistical attack is applied to round-reduced Speck. And several better attacks are obtained.

Neural aided cryptanalysis is a challenging topic, in which the neural distinguisher (N D) is a core module. In this paper, we propose a new N D considering multiple ciphertext pairs simultaneously. Besides, multiple ciphertext pairs are constructed from different keys. The motivation is that the distinguishing accuracy can be improved by exploiting features derived from multiple ciphertext pairs. To verify this motivation, we have applied this new N D to five different ciphers. Experiments show that taking multiple ciphertext pairs as input indeed brings accuracy improvement. Then, we prove that our new N D applies to two different neural aided key recovery attacks. Moreover, the accuracy improvement is helpful for reducing the data complexity of the neural aided statistic attack. The code is available at https://github.com/AI-Lab-Y/ND_mc.

Modern SoC designs include several reset domains that enable asynchronous partial resets while obviating complete system boot. Unfortunately, asynchronous resets can introduce security vulnerabilities that are difficult to detect through traditional validation. In this paper, we address this problem through a new security validation framework, SoCCCAR, that accounts for asynchronous resets. The framework involves (1) efficient extraction of reset-controlled events while avoiding combinatorial explosion, and (2) concolic testing for systematic exploration of the extracted design space. Our experiments demonstrate that SoCCAR can achieve almost perfect detection accuracy and verification time of a few seconds on realistic SoC designs.

Garbled Circuits (GCs) represent fundamental and powerful tools in cryptography, and many variants of GCs have been considered since their introduction. An important property of the garbled circuits is that they can be evaluated securely if and only if exactly 1 key for each input wire is obtained: no less and no more. In this work we study the case when: 1) some of the wire-keys are missing, but we are still interested in computing the output of the garbled circuit and 2) the evaluator of the GC might have both keys for a constant number of wires. We start to study this question in terms of non-interactive multi-party computation (NIMPC) which is strongly connected with GCs. In this notion there is a fixed number of parties ($n$) that can get correlated information from a trusted setup. Then these parties can send an encoding of their input to an evaluator, which can compute the output of the function. Similarly to the notion of ad hoc secure computation proposed by Beimel et al. [ITCS 2016], we consider the case when less than $n$ parties participate in the online phase, and in addition we let these parties colluding with the evaluator. We refer to this notion as Threshold NIMPC. In addition, we show that when the number of parties participating in the online phase is a fixed threshold $l\leq n$ then it is possible to securely evaluate any $l$-input function. We build our result on top of a new secret-sharing scheme (which can be of independent interest) and on the results proposed by Benhamouda, Krawczyk and Rabin [Crypto 2017]. Our protocol can be used to compute any function in NC1 in the information-theoretic setting and any function in $P$ assuming one-way functions. As a second (and main) contribution, we consider a slightly different notion of security in which the number of parties that can participate in the online phase is not specified, and can be any number $c$ above the threshold $l$ (in this case the evaluator cannot collude with the other parties). We solve an open question left open by  Beimel, Ishai and Kushilevitz [Eurocrypt 2017] showing how to build a secure protocol for the case when $c$ is constant, under the Learning with Errors assumption.

We show a lattice-based solution for commit-and-prove transparent circuit zero-knowledge (ZK) with polylog-communication, the first not depending on PCPs. We start from compressed $\Sigma$-protocol theory (CRYPTO 2020), which is built around basic $\Sigma$-protocols for opening an arbitrary linear form on a long secret vector that is compactly committed to. These protocols are first compressed using a recursive ``folding-technique'' adapted from Bulletproofs, at the expense of logarithmic rounds. Proving in ZK that the secret vector satisfies a given constraint -- captured by a circuit -- is then by (blackbox) reduction to the linear case, via arithmetic secret-sharing techniques adapted from MPC. Commit-and-prove is also facilitated, i.e., when commitment(s) to the secret vector are created ahead of any circuit-ZK proof. On several platforms (incl.\ DL) this leads to logarithmic communication. Non-interactive versions follow from Fiat-Shamir. This abstract modular theory strongly suggests that it should somehow be supported by a lattice-platform as well. However, when going through the motions and trying to establish low communication (on an SIS-platform), a certain significant lack in current understanding of multi-round protocols is exposed. Namely, as opposed to the DL-case, the basic $\Sigma$-protocol in question typically has poly-small challenge space. Taking into account the compression-step -- which yields non-constant rounds -- and the necessity for parallelization to reduce error, there is no known tight result that the compound protocol admits an efficient knowledge extractor. We resolve the state of affairs here by a combination of two novel results which are fully general and of independent interest. The first gives a tight analysis of efficient knowledge extraction in case of non-constant rounds combined with poly-small challenge space, whereas the second shows that parallel repetition indeed forces rapid decrease of knowledge error. Moreover, in our present context, arithmetic secret sharing is not defined over a large finite field but over a quotient of a number ring and this forces our careful adaptation of how the linearization techniques are deployed. We develop our protocols in an abstract framework that is conceptually simple and can be flexibly instantiated. In particular, the framework applies to arbitrary rings and norms.

Blind signatures, introduced by Chaum (Crypto’82), allows a user to obtain a signature on a message without revealing the message itself to the signer. Thus far, all existing constructions of round-optimal blind signatures are known to require one of the following: a trusted setup, an interactive assumption, or complexity leveraging. This state-of-the-affair is somewhat justified by the few known impossibility results on constructions of round-optimal blind signatures in the plain model (i.e., without trusted setup) from standard assumptions. However, since all of these impossibility results only hold under some conditions, fully (dis)proving the existence of such round-optimal blind signatures has remained open. In this work, we provide an affirmative answer to this problem and construct the first round-optimal blind signature scheme in the plain model from standard polynomial-time assumptions. Our construction is based on various standard cryptographic primitives and also on new primitives that we introduce in this work, all of which are instantiable from classical and post-quantum standard polynomial-time assumptions. The main building block of our scheme is a new primitive called a blind-signature-conforming zero-knowledge (ZK) argument system. The distinguishing feature is that the ZK property holds by using a quantum polynomial-time simulator against non-uniform classical polynomial-time adversaries. Syntactically one can view this as a delayed-input three-move ZK argument with a reusable first message, and we believe it would be of independent interest.