International Association
for Cryptologic Research

In this paper, we propose a rectangle-like method called \textit{rotational-XOR differential rectangle} attack to search for better distinguishers. It is a combination of the rotational-XOR cryptanalysis and differential cryptanalysis in the rectangle-based way. In particular, we put a rotational-XOR characteristic before a differential characteristic to construct a rectangle structure. By choosing some appropriate rotational-XOR and differential characteristics as well as considering multiple differentials, some longer distinguishers that have the probability greater than $2^{-2n}$ can be constructed effectively where $n$ is the block size of a block cipher. We apply this new method to some versions of \textsc{Simon} and \textsc{Simeck} block ciphers. As a result, we obtain rotational-XOR differential rectangle distinguishers up to 16, 16, 17, 16 and 21 rounds for \textsc{Simon}32/64, \textsc{Simon}48/72, \textsc{Simon}48/96, \textsc{Simeck}32 and \textsc{Simeck}48, respectively. Our distinguishers for \textsc{Simon}32/64 and \textsc{Simon}48/96 are both longer than the best differential and rotational-XOR distinguishers. Also, our distinguisher for \textsc{Simeck}32 is longer than the best differential distinguisher (14 rounds) and has the full weak key space (i.e., $2^{64}$) whereas the 16-round rotational-XOR distinguisher has a weak key class of $2^{36}$. In addition, our distinguisher for \textsc{Simeck}48 has a better weak key class ($2^{72}$ weak keys) than the 21-round rotational-XOR distinguisher ($2^{60}$ weak keys). To the best of our knowledge, this is the first time to consider the combinational cryptanalysis based on rotational-XOR and differential cryptanalysis using the rectangle structure.

While the Weil pairing is geometric, the Tate pairing is arithmetic: its value depends on the base field considered. Nevertheless, the étale topology allows to interpret the Galois action in a geometric manner. In this paper, we discuss this point of view for the Tate pairing: its natural geometric interpretation is that it gives étale $\mu_n$-torsors. While well known to experts, this interpretation is perhaps less known in the cryptographic community.

As an application, we explain how to use the Tate pairing to study the fibers of an isogeny, and we prove a conjecture by Castryck and Decru on multiradical isogenies.

The Regular Syndrome Decoding (RSD) problem, a variant of the Syndrome Decoding problem with a particular error distribution, was introduced almost 20 years ago by Augot et al.. In this problem, the error vector is divided into equally sized blocks, each containing a single noisy coordinate. More recently, the last five years have seen increased interest in this assumption due to its use in MPC and ZK applications. Generally referred to as "LPN with regular noise" in this context, the assumption allows to achieve better efficiency when compared to plain LPN. In all previous works of cryptanalysis, it has not been shown how to exploit the special feature of this problem in an attack.

We present the first algebraic attack on RSD. Based on a careful theoretical analysis of the underlying polynomial system, we propose concrete attacks that are able to take advantage of the regular noise distribution. In particular, we can identify several examples of concrete parameters where our techniques outperform other algorithms.

Studies of linear codes in terms of finite projective geometries form traditional direction in Coding Theory. Some applications of projective geometries are known. Noncommutative groups and semigroups defined in terms of projective geometries can serve as platforms of protocols of Post Quantum Cryptography. We introduce an idea of public keys of Multivariate Cryptography given by quadratic public rules generated via walks on incidence substructures of projective geometry with vertexes from two largest Schubert cells. It differs from the known algorithms of Code Based Cryptography and can be considered as the first attempt to combine ideas of this area with the approach of Multivariate Cryptography.

In many applications, low area and low latency are required for the chip-level implementation of cryptographic primitives. The low-cost implementations of linear layers usually play a crucial role for symmetric ciphers. Some heuristic methods, such as the forward search and the backward search, minimize the number of XOR gates of the linear layer under the minimum latency limitation.

For the sake of achieving further optimization for such implementation of the linear layer, we put forward a new general search framework attaching the division optimization and extending base techniques in this paper. In terms of the number of XOR gates and the searching time, our new search algorithm is better than the previous heuristics, including the forward search and the backward search when testing matrices provided by them. We obtain an improved implementation of AES MixColumns requiring only 102 XORs under minimum latency, which outdoes the previous best record provided by the forward search.

In the recent work of (Cheon & Lee, Eurocrypt'22), the concept of a degree-$D$ packing method was formally introduced, which captures the idea of embedding multiple elements of a smaller ring into a larger ring, so that element-wise multiplication in the former is somewhat "compatible" with the product in the latter. Then, several optimal bounds and results are presented, and furthermore, the concept is generalized from one multiplication to degrees larger than two. These packing methods encompass several constructions seen in the literature in contexts like secure multiparty computation and fully homomorphic encryption.

One such construction is the concept of reverse multiplication-friendly embeddings (RMFEs), which are essentially degree-2 packing methods. In this work we generalize the notion of RMFEs to \emph{degree-$D$ RMFEs} which, in spite of being "more algebraic" than packing methods, turn out to be essentially equivalent. Then, we present a general construction of degree-$D$ RMFEs by generalizing the ideas on algebraic geometry used to construct traditional degree-$2$ RMFEs which, by the aforementioned equivalence, leads to explicit constructions of packing methods. Furthermore, our theory is given in an unified manner for general Galois rings, which include both rings of the form $\mathbb{Z}_{p^k}$ and fields like $\mathbb{F}_{p^k}$, which have been treated separately in prior works. We present multiple concrete sets of parameters for degree-$D$ RMFEs (including $D=2$), which can be useful for future works.

Finally, we apply our RMFEs to the task of non-interactively generating high degree correlations for secure multiparty computation protocols. This requires the use of Shamir secret sharing for a large number of parties, which is known to require large-degree Galois ring extensions. Our RMFE enables the generation of such preprocessing data over small rings, without paying for the multiplicative overhead incurred by using Galois ring extensions of large degree. For our application we also construct along the way, as a side contribution of potential independent interest, a pseudo-random secret-sharing solution for non-interactive generation of packed Shamir-sharings over Galois rings with structured secrets, inspired by the PRSS solutions from (Benhamouda et al, TCC 2021).

Fuzzy extractors convert noisy signals from the physical world into reliable cryptographic keys. Fuzzy min-entropy is an important measure the ability of a fuzzy extractor to distill keys from a distribution: in particular, it bounds the length of the key that can be derived (Fuller, Reyzin, and Smith, IEEE Transactions on Information Theory 2020). In general, fuzzy min-entropy that is superlogarithmic in the security parameter is required for a noisy distribution to be suitable for key derivation. There is a wide gap between what is possible with respect to computational and information-theoretic adversaries. Under the assumption of general-purpose obfuscation, keys can be securely derived from all distributions with superlogarithmic entropy. Against information-theoretic adversaries, however, it is impossible to build a single fuzzy extractor that works for all distributions (Fuller, Reyzin, and Smith, IEEE Transactions on Information Theory 2020).

A weaker information-theoretic goal is to build a fuzzy extractor for each particular probability distribution. This is the approach taken by Woodage et al. (Crypto 2017). Prior approaches use the full description of the probability mass function and are inefficient. We show this is inherent: for a quarter of distributions with fuzzy min-entropy and $2^k$ points there is no secure fuzzy extractor that uses less $2^{\Theta(k)}$ bits of information about the distribution.} This result rules out the possibility of efficient, information-theoretic fuzzy extractors for many distributions with fuzzy min-entropy.

We show an analogous result with stronger parameters for information-theoretic secure sketches. Secure sketches are frequently used to construct fuzzy extractors.

We study the space complexity of the two related fields of differential privacy and adaptive data analysis. Specifically, (1) Under standard cryptographic assumptions, we show that there exists a problem $P$ that requires exponentially more space to be solved efficiently with differential privacy, compared to the space needed without privacy. To the best of our knowledge, this is the first separation between the space complexity of private and non-private algorithms. (2) The line of work on adaptive data analysis focuses on understanding the number of samples needed for answering a sequence of adaptive queries. We revisit previous lower bounds at a foundational level, and show that they are a consequence of a space bottleneck rather than a sampling bottleneck. To obtain our results, we define and construct an encryption scheme with multiple keys that is built to withstand a limited amount of key leakage in a very particular way.

(Asymmetric) Password-based Authenticated Key Exchange ((a)PAKE) protocols allow two parties establish a session key with a pre-shared low-entropy password. In this paper, we show how Encrypted Key Exchange (EKE) compiler [Bellovin and Merritt, S&P 1992] meets tight security in the Universally Composable (UC) framework. We propose a strong 2DH variant of EKE, denoted by 2DH-EKE, and prove its tight security in the UC framework based on the CDH assumption. The efficiency of 2DH-EKE is comparable to original EKE, with only $O(\lambda)$ bits growth in communication ($\lambda$ the security parameter), and two (resp., one) extra exponentiation in computation for client (resp., server).

We also develop an asymmetric PAKE scheme 2DH-aEKE from 2DH-EKE. The security reduction loss of 2DH-aEKE is $N$, the total number of client-server pairs. With a meta-reduction, we formally prove that such a factor $N$ is inevitable in aPAKE. Namely, our 2DH-aEKE meets the optimal security loss. As a byproduct, we further apply our technique to PAKE protocols like SPAKE2 and PPK in the relaxed UC framework, resulting in their 2DH variants with tight security from the CDH assumption.

State machine replication (SMR) allows nodes to jointly maintain a consistent ledger, even when a part of nodes are Byzantine. To defend against and/or limit the impact of attacks launched by Byzantine nodes, there have been proposals that combine reputation mechanisms to SMR, where each node has a reputation value based on its historical behaviours, and the node’s voting power will be proportional to its reputation. Despite the promising features of reputation-based SMR, existing studies do not provide formal treatment on the reputation mechanism on SMR protocols, including the types of behaviours affecting the reputation, the security properties of the reputation mechanism, or the extra security properties of SMR using reputation mechanisms. In this paper, we provide the first formal study on the reputation-based SMR. We define the security properties of the reputation mechanism w.r.t. these misbehaviours. Based on the formalisation of the reputation mechanism, we formally define the reputation-based SMR, and identify a new property reputationconsistency that is necessary for ensuring reputation-based SMR’s safety. We then design a simple reputation mechanism that achieves all security properties in our formal model. To demonstrate the practicality, we combine our reputation mechanism to the Sync-HotStuff SMR protocol, yielding a simple and efficient reputation-based SMR at the cost of only an extra ∆ in latency, where ∆ is the maximum delay in synchronous networks.

The elliptic curve family of schemes has the lowest computational latency, memory use, energy consumption, and bandwidth requirements, making it the most preferred public key method for adoption into network protocols. Being suitable for embedded devices and applicable for key exchange and authentication, ECC is assuming a prominent position in the field of IoT cryptography. The attractive properties of the relatively new curve Curve448 contribute to its inclusion in the TLS1.3 protocol and pique the interest of academics and engineers aiming at studying and optimizing the schemes. When addressing low-end IoT devices, however, the literature indicates little work on these curves. In this paper, we present an efficient design for both protocols based on Montgomery curve Curve448 and its birationally equivalent Edwards curve Ed448 used for key agreement and digital signature algorithm, specifically the X448 function and the Ed448 DSA, relying on efficient low-level arithmetic operations targeting the ARM-based Cortex-M4 platform. Our design performs point multiplication, the base of the Elliptic Curve Diffie-Hellman (ECDH), in 3,2KCCs, resulting in more than 48% improvement compared to the best previous work based on Curve448, and performs sign and verify, the main operations of the Edwards-curves Digital Signature Algorithm (EdDSA), in 6,038KCCs and 7,404KCCs, showing a speedup of around 11% compared to the counterparts. We present novel modular multiplication and squaring architectures reaching ~25% and ~35% faster runtime than the previous best-reported results, respectively, based on Curve448 key exchange counterparts, and ~13% and ~25% better latency results than the Ed448-based digital signature counterparts targeting Cortex-M4 platform.

A key encapsulation mechanism (KEM) is a basic building block for key exchange which must be combined with long-term keys in order to achieve authenticated key exchange (AKE). Although several KEM-based AKE protocols have been proposed, KEM-based modular building blocks are not available. We provide a KEM-based authenticator and a KEM-based protocol in the Authenticated Links model (AM), in the terminology of Canetti and Krawczyk (2001). Using these building blocks we achieve a set of generic AKE protocols. By instantiating these with post-quantum secure primitives we are able to propose several new post-quantum secure AKE protocols.

Dynamic Symmetric Searchable Encryption (SSE) enables a user to outsource the storage of an encrypted database to an untrusted server, while retaining the ability to privately search and update the outsourced database. The performance bottleneck of SSE schemes typically comes from their I/O efficiency. Over the last few years, a line of work has substantially improved that bottleneck. However, all existing I/O-efficient SSE schemes have a common limitation: they are not forward-secure. Since the seminal work of Bost at CCS 2016, forward security has become a de facto standard in SSE. In the same article, Bost conjectures that forward security and I/O efficiency are incompatible. This explains the current status quo, where users are forced to make a difficult choice between security and efficiency.

The central contribution of this paper it to show that, contrary to what the status quo suggests, forward security and I/O efficiency can be realized simultaneously. This result is enabled by two new key techniques. First, we make use of a controlled amount of client buffering, combined with a deterministic update schedule. Second, we introduce the notion of SSE supporting dummy updates. In combination, those two techniques offer a new path to realizing forward security, which is compatible with I/O efficiency. Our new SSE scheme, Hermes, achieves sublogarithmic I/O efficiency $O(\log\log \frac{N}{p})$, storage efficiency $O(1)$, with standard leakage, as well as backward and forward security. Practical experiments confirm that Hermes achieves excellent performance.

Synthesis and optimization of quantum circuits are important and fundamental research topics in quantum computation, due to the fact that qubits are very precious and decoherence time which determines the computation time available is very limited. Specifically in cryptography, identifying the minimum quantum resources for implementing an encryption process is crucial in evaluating the quantum security of symmetric-key ciphers. In this work, we investigate the problem of optimizing the depth of quantum circuits for linear layers while utilizing a small number of qubits and quantum gates. To this end, we present a framework for the implementation and optimization of linear Boolean functions, by which we significantly reduce the depth of quantum circuits for many linear layers used in symmetric-key ciphers without increasing the gate count.

We introduce an efficient transparent interactive zero knowledge argument system with practical succinctness. Our system converts circuit inputs in Pedersen commitment form to linear polynomials so that the verifier can use standard integer operations to compute and verify the circuit output. The verifier runtime of our protocol is linear to the number of multiplication gates in the path that contains the most multiplications in a circuit (we use symbol $d_m$ to denote its value). However, its practical performance still compares favorably against state-of-the-art transparent zero-knowledge protocols with sub-linear verifier work.

The asymptotic cost of our protocol is $O (d_m \text{ log } d_m)$ for prover work, $O (d_m)$ for verifier work, and $ O({d_m}^{1/2})$ for communication cost, where $d_m$ stands for the total number of multiplication gates in the path that contains the most multiplications in a circuit (e.g. for a circuit with $n=2^{20}$ sequential multiplications, $d_m = n$). Specifically, when running a circuit with $2^{20}$ multiplication gates on a single thread CPU, the prover runtime of our protocol is $1.9$ seconds, the verifier runtime is $32$ ms and the communication cost is $56$ kbs.

In this paper, we will first introduce a base version of our protocol in which the prover work is dominated by $O ({d_m}^2)$ field operations. Although field operations are significantly faster than group operations, they become increasingly expensive as $d_m$ value gets large. So in the follow up sections, we will introduce a mechanism to apply number theoretic transformation (NTT) to bring down the prover time to $O (d_m \text{ log } d_m)$.

Another added benefit of our protocol is that it does not require a front end encoder to translate NP relation $R$ to some zero-knowledge friendly representation $\hat{R}$ (such as R1CS constraint system) before the relation can be converted to a proof system, making our protocol relatively easy to implement and also easier to use compared to constraint system based protocols.

Physical side-channel attacks are a major threat to stealing confidential data from devices. There has been a recent surge in such attacks on edge machine learning (ML) hardware to extract the model parameters. Consequently, there has also been some work, although limited, on building corresponding side-channel defenses against such attacks. All the current solutions either take the fully software or fully hardware-centric approaches, which are limited either in performance or flexibility.

In this paper, we propose the first hardware-software co-design solution for building side-channel-protected ML hardware. Our solution targets edge devices and addresses both performance and flexibility needs. To that end, we develop a secure RISC-V-based coprocessor design that can execute a neural network implemented in C/C++. The coprocessor uses masking to execute various neural network operations like weighted summations, activation functions, and output layer computation in a side-channel secure fashion. We extend the original RV32I instruction set with custom instructions to control the masking gadgets inside the secure coprocessor. We further use the custom instructions to implement easy-to-use APIs that are exposed to the end-user as a shared library. Finally, we demonstrate the empirical side-channel security of the design with 1M traces.

Secure inference of deep convolutional neural networks (CNNs) was recently demonstrated under RNS-CKKS. The state-of-the-art solution uses a high-order composite polynomial to approximate all ReLUs. However, it results in prohibitively high latency because bootstrapping is required to refresh zero-level ciphertext after every Conv-BN layer. To accelerate inference of CNNs over FHE and automatically design homomorphic evaluation architectures of CNNs, we propose AutoFHE: a bi-level multi-objective optimization framework to automatically adapt standard CNNs to polynomial CNNs. AutoFHE can maximize validation accuracy and minimize the number of bootstrapping operations by assigning layerwise polynomial activations and searching for the placement of bootstrapping operations. As a result, AutoFHE can generate diverse solutions spanning the trade-off front between accuracy and inference time. Experimental results of ResNets on encrypted CIFAR-10 under RNS-CKKS indicate that in comparison to the state-of-the-art solution, AutoFHE can reduce inference time (50 images on 50 threads) by up to 3,297 seconds (43%) while preserving accuracy (92.68%). AutoFHE also improves the accuracy of ResNet-32 by 0.48% while accelerating inference by 382 seconds (7%).

Showing quantum advantage based on weaker and standard classical complexity assumptions is one of the most important goals in quantum information science. In this paper, we demonstrate quantum advantage with several basic assumptions, specifically based on only the existence of classically-secure one-way functions. We introduce inefficient-verifier proofs of quantumness (IV-PoQ), and construct it from statistically-hiding and computationally-binding classical bit commitments. IV-PoQ is an interactive protocol between a verifier and a quantum polynomial-time prover consisting of two phases. In the first phase, the verifier is classical probabilistic polynomial-time, and it interacts with the quantum polynomial-time prover over a classical channel. In the second phase, the verifier becomes inefficient, and makes its decision based on the transcript of the first phase. If the quantum prover is honest, the inefficient verifier accepts with high probability, but any classical probabilistic polynomial-time malicious prover only has a small probability of being accepted by the inefficient verifier. In our construction, the inefficient verifier can be a classical deterministic polynomial-time algorithm that queries an $\mathbf{NP}$ oracle. Our construction demonstrates the following results based on the known constructions of statistically-hiding and computationally-binding commitments from one-way functions or distributional collision-resistant hash functions: (1) If one-way functions exist, then IV-PoQ exist. (2) If distributional collision-resistant hash functions exist (which exist if hard-on-average problems in $\mathbf{SZK}$ exist), then constant-round IV-PoQ exist. We also demonstrate quantum advantage based on worst-case-hard assumptions. We define auxiliary-input IV-PoQ (AI-IV-PoQ) that only require that for any malicious prover, there exist infinitely many auxiliary inputs under which the prover cannot cheat. We construct AI-IV-PoQ from an auxiliary-input version of commitments in a similar way, showing that (1) If auxiliary-input one-way functions exist (which exist if $\mathbf{CZK}\not\subseteq\mathbf{BPP}$), then AI-IV-PoQ exist. (2) If auxiliary-input collision-resistant hash functions exist (which is equivalent to $\mathbf{PWPP}\nsubseteq \mathbf{FBPP}$) or $\mathbf{SZK}\nsubseteq \mathbf{BPP}$, then constant-round AI-IV-PoQ exist. Finally, we also show that some variants of PoQ can be constructed from quantum-evaluation one-way functions (QE-OWFs), which are similar to classically-secure classical one-way functions except that the evaluation algorithm is not classical but quantum. QE-OWFs appear to be weaker than classically-secure classical one-way functions.

The discrete logarithm problem forms the basis of security of many practical schemes. When the number of bases is more than one, the problem of finding out the exponents is known as the multi- dimensional discrete logarithm problem. It arises in several circumstances both in groups modulo some integer or elliptic curve groups. Gaudry and Schost proposed a low-memory algorithm for this problem which performs a pseudo-random walk in the group. Tag tracing is a technique to practi- cally speed-up a pseudo-random walk. We have incorporated this technique into the Gaudry-Schost algorithm to observe the results of practical differences in time. We implemented the new algorithm in subgroups of $\mathbb{Z}^{*}_{p}$. Such subgroups are cryptographically relevant in the context of electronic voting and cash schemes. Our algorithm showed a substantial decrease in run-time with a gain in time by some integral multiple. For example, on a single core of Intel Xeon E7-8890 @ 2.50 GHz we showed our algorithm required 12 times less time than the Gaudry-Schost algorithm. This leads to better practical behaviour of the algorithm over such groups. We also point out a few more optimizations that can be adopted along with future applications for other scenarios.

With Dilithium and Falcon, NIST selected two lattice-based signature schemes during their post-quantum standardization project. Whereas Dilithium follows the Fiat-Shamir with Aborts (Lyubashevsky, Asiacrypt'09) blueprint, Falcon can be seen as an optimized version of the GPV-paradigm (Gentry et al., STOC'06). An important question now is whether those signatures allow additional features such as the aggregation of distinct signatures. One example are sequential aggregate signature (SAS) schemes (Boneh et al., Eurocrypt'04) which allow a group of signers to sequentially combine signatures on distinct messages in a compressed manner. The present work first reviews the state of the art of (sequentially) aggregating lattice-based signatures, points out the insecurity of one of the existing Falcon-based SAS (Wang and Wu, PROVSEC'19), and proposes a fix for it. We then construct the first Fiat-Shamir with Aborts based SAS by generalizing existing techniques from the discrete-log setting (Chen and Zhao, ESORICS'22) to the lattice framework. Going from the pre-quantum to the post-quantum world, however, does most often come with efficiency penalties. In our work, we also meet obstacles that seem inherent to lattice-based signatures, making the resulting scheme less efficient than what one would hope for. As a result, we only achieve quite small compression rates. We compare our construction with existing lattice-based SAS which all follow the GPV-paradigm. The bottom line is that none of the schemes achieves a good compression rate so far.