International Association
for Cryptologic Research

We give efficient formulas to evaluate isogenies of ordinary elliptic curves over finite fields of characteristic $2$, extending the odd-characteristic techniques of Hisil--Costello and Renes to binary fields. For odd prime degree $\ell = 2s+1$, our affine product evaluation computes the image $x$-coordinate using $5s\mathbf{M}$ field multiplications, or $4s\mathbf{M}$ when the kernel points are normalized. We derive an inversion-free variant that evaluates the $x$-map in projective and twisted Kummer coordinates, allowing carried points to remain projective across successive isogeny steps. Over $\mathbb{F}_{2^{511}}$, microbenchmarks show that the inversion-free projective and twisted variants are faster than Vélu-style $x$-evaluation when outputs are kept in projective/twisted form, while the affine one-inversion variant is about $4.2\times$ faster.

Basically, public-key searchable encryption schemes require a linear search time with respect to the total number of ciphertexts. Xu, Wu, Wang, Susilo, Domingo-Ferrer, and Jin (IEEE Transactions on Information Forensics and Security, 2015) introduced Searchable Public-Key Ciphertexts with Hidden Structure (SPCHS). In SPCHS, ciphertexts associated with the same keyword are linked through a hidden structure that can be revealed using a trapdoor. This enables efficient extraction of matching ciphertexts and achieves optimal asymptotic search efficiency by traversing only the result set. However, a drawback of the SPCHS scheme and its subsequent works is that they are all pairing-based or rely on identity-based encryption (IBE) as a foundational component. To improve efficiency, this paper proposes a generic construction of SPCHS. Our core building block is Non-Interactive Key Exchange (NIKE), and the remaining components are symmetric-key primitives, namely secret-key encryption and a pseudorandom function (PRF). In particular, our search algorithm depends solely on these symmetric-key primitives and is independent of any public-key primitives. We implement the most efficient instantiation of the generic construction using Diffie-Hellman NIKE, an HMAC-based PRF, and AES. Our evaluation demonstrates that the search time of the DH-based instantiation is over 250 times faster than that of the asymmetric pairing-based scheme by Wang et al. (IEEE Transactions on Industrial Informatics, 2020). Moreover, we reduce the ciphertext size by a factor of approximately 20. In addition to this practical contribution of significantly improving efficiency, the proposed generic construction also makes a theoretical contribution by enabling the realization of the first set of post-quantum SPCHS schemes based on lattices, isogenies, and codes.

We review the traditional techniques of message authentication from the perspective of Constructive Cryptography, one of the major composable security frameworks. For each of the 'textbook' means of message authentication, known results are compiled, and various gaps are addressed. We also point out areas of remaining study, and obstacles to demonstrating composability in those cases. The results can be thought of as a toolkit showing how to realise composable authentication with various cryptographic primitives, with precise statements on the security guarantees and set-up requirements.

This paper studies efficient realizations of arithmetic over the binary field $\mathbb{F}_2$ in nonabelian groups using only intrinsic group operations, namely multiplication and inversion. The constructions rely on commutators to implement Boolean computation within the group structure. Two complementary approaches are presented: a realization of a universal Boolean gate (NAND) and direct realizations of the field operations XOR and AND. These approaches apply to finite nonabelian simple groups and can be implemented using a small number of group operations. Explicit realizations are provided in the alternating groups $A_5$ and $A_6$. For the smallest nonabelian simple group $A_5$, these constructions achieve state-of-the-art efficiency in the number of group operations.

GRAFHE is a recently proposed noise-free fully homomorphic encryption scheme based on rewriting systems in symmetric groups. We provide an efficiently computable distinguisher, breaking IND-CPA security.

Quantum computing threatens classical public key systems and has motivated NIST’s PQC standardization, and within this process HAWK has been submitted as a lattice-based signature scheme. While prior analyses focused on mathematical security, the consequences of side-channel leakage in practical HAWK implementations are less systematically understood. We address this gap by formalizing discrete Gaussian sampler leakage as HAWK with Hint and studying three leakage categories: (i) full coefficient recovery, (ii) sign-only recovery, and (iii) noisy sign recovery. For each category, including (i) which has been covered in prior work, we design algebraic key recovery algorithms that derive explicit linear relations between leaked information and the secret basis and solve the resulting structured linear systems in polynomial time.

For HAWK-1024, we obtain the following results under the stated threat models. With full coefficient leakage, a single signature suffices for secret key recovery by directly solving the induced linear system, improving prior work that required two signatures under the same conditions. With sign-only leakage, the secret key is recovered using 14 signatures in approximately 100 seconds. With noisy sign leakage, we achieve key recovery using 400 signatures within about 30 seconds at a 10% bit-error rate, and still succeed with roughly 7,000 signatures within about one minute even when the bit-error rate increases to 40%. We implement all attacks and empirically validate them, clarifying how measurement noise affects the required number of signatures.

Deduplication for encrypted data reduces the storage costs of server while keeping the sensitive data secure. Fuzzy deduplication is developing for the multimedia data for its similarity not exact equality, hence it has better storage space saving capabilities than exact deduplication. However, the most of existing works face the security threat such as brute-force guessing attacks, key recovery attacks and so on. We conduct research on fuzzy deduplication from the fundamental layer for these security goals. In this work, the data similarity is novelty defined based on information entropy theory so that the similarity verification by cloud is without online clients assistance. Moreover, the parameter robustness verification is firstly proposed to be against the key recovery attacks and guessing attacks fundamentally. The simulation experiments show that our scheme can save approximately 87% of storage space while maintaining a tamper detection success rate of no less than 97%.

Ring signatures are cryptographic primitives that enable a user to sign a message on behalf of a group of users in an anonymous manner. The anonymity of the signer is the fundamental security property of ring signatures. However, unrestricted anonymity can be misused, as a malicious signer could use it to send spam or excessive messages. To address this issue, a controlled restriction on signer anonymity is required, which makes such schemes more practical. In this paper, we propose a k-times traceable ring signature scheme that allows the public key of the signer to be traced publicly if the signer exceeds a predetermined signing limit k. The novelty of our construction lies in its reliance on lattice-based assumptions, which ensure post-quantum security. Consequently, the proposed scheme is well-suited for practical deployment in the presence of emerging quantum threats. Our approach achieves competitive performance while providing stronger security guarantees, making it an appropriate candidate for modern cryptographic applications. We also present efficiency analysis and compare our scheme with existing constructions.

We study key-schedule design under boundary round-key leakage, namely leakage of the first round key, the last round key, or both end round keys. We propose the nonlinear key-schedule $\mathrm{RK}_i = K \oplus F\bigl(K \oplus T(i)\bigr)$, where $K$ is the master key, $T(i)$ is a public domain separation value, and $F$ is a public SPN-based permutation parameterized by its round count $N_F$.

Under the boundary-leakage model considered in this paper, leakage of one end round key yields an instance of the equation $Z=U\oplus F(U)$, whereas leakage of both end round keys yields a differential constraint of the form $F(U)\oplus F(U\oplus\Delta)=\Gamma$, where $\Delta$ is determined by the two end indices and $\Gamma$ is derived from the two leaked round-key values. These reductions clarify the nonlinear systems induced by boundary leakage and the absence of a linear elimination route to the master key.

We also evaluate reduced variants of the resulting systems through Gr\"obner basis experiments, and further examine them by SAT-based key-recovery experiments and right-censored runtime analysis via a Weibull AFT model. Within the tested range, we do not observe degree collapse or unusually strong linear bias. These results provide heuristic support for the view that, under the boundary-leakage model considered here, the tested instantiations of the proposed key-schedule family do not admit an obvious efficient inversion route.

Multi-scalar multiplication (MSM), $MSM(\vec{P},\vec{x})=\sum_{i=1}^n x_i P_i$, is a dominant computational kernel in discrete-logarithm–based cryptography and often becomes a bottleneck for verifiers and other resource-constrained clients. We present 2G2T, a simple protocol for verifiably outsourcing MSM to an untrusted server. 2G2T is efficient for both parties: the server performs only two MSM computations and returns only two group elements to the client, namely the claimed result $A=MSM(\vec{P},\vec{x})$ and an auxiliary group element $B$. Client-side verification consists of a single length-$n$ field inner product and only three group operations (two scalar multiplications and one group addition). In our Ristretto255 implementation, verification is up to $\sim 300\times$ faster than computing the MSM locally using a highly optimized MSM routine (for $n$ up to $2^{18}$). Moreover, 2G2T enables latency-hiding verification: nearly all verifier work can be performed while waiting for the server's response, so once $(A,B)$ arrives the verifier completes the check with only one scalar multiplication and one group addition (both independent of $n$). Finally, despite its simplicity and efficiency, we prove that 2G2T achieves statistical soundness: for any (even unbounded) adversarial server, the probability of accepting an incorrect result is at most $1/q$ per query, and at most $e/q$ over $e$ adaptive executions, in a prime-order group of size $q$.

In this note we introduce the concept of proximity signatures, where verifiers who can only access a small part of some data would like a guarantee that (a) this data is “close” to a uniquely decodable message (so the message can be decoded from the data via error decoding) and (b) the uniquely decodable message is signed by an associated secret key. This is useful in situations where the message is very large but the verifiers are small devices who only need the guarantee that the message was signed by some specific secret key or set of keys. As a motivating example, we consider the data availability problem. There, users submit large signed pieces of data that together form a larger data matrix. The signatures and integrity of this data must then be checked by nodes who can only download a small proportion of this matrix. We present a construction inspired by linear subspace signatures.

Hamming Quasi-Cyclic (HQC) has been selected by NIST for standardization in the post-quantum landscape. As deployment approaches, implementation security becomes as critical as mathematical hardness. In this work, we demonstrate that source-level constant-time coding is not a standalone guarantee: the compiled binary must inherently preserve this behavior.

We identify a severe compiler-induced vulnerability within the official AVX2-optimized implementation of HQC, despite its claims of being constant-time. Although the C source code relies on secure, mask-based conditional selection, certain compiler optimizations rewrite this logic systematically. This transformation silently introduces secret-dependent control flow into the inner Reed-Muller decoding process, resulting in secret-dependent cache access patterns.

Exploiting this vulnerability, we mount, to the best of our knowledge, the first cache-timing Full-Decryption-style oracle attack against a post-quantum cryptosystem. Using Flush+Reload on shared libraries, an unprivileged co-located adversary can extract fine-grained predicates of the decoder's internal state. To achieve full key recovery, we develop a novel, reliability-aware Soft Information Set Decoding (Soft-ISD) post-processing framework. Leveraging a GPU-accelerated meet-in-the-middle strategy optimized for heterogeneous platforms (including Apple Silicon), we demonstrate end-to-end secret key recovery for hqc-1 with less than 10 seconds of online trace collection.

(Partially) blind signatures are foundational cryptographic primitives that enable privacy-preserving authentication in digital systems. Blind signatures allow a user to obtain a signature on a message without revealing its content, while partially blind signatures permit the controlled inclusion of agreed-upon public information into the signed message. These primitives are central to applications such as electronic voting, anonymous credentials, and digital cash.

The first isogeny-based construction of (partially) blind signatures, CSIOtter, were proposed by Katsumata et al. at CRYPTO'23. However, its concurrent security was later broken by Katsumata et al. (CRYPTO'24) and Do et al. (EUROCRYPT'24). These findings imply that CSI-Otter is secure only in sequential settings. Recently, Hanzlik et al. (ASIACRYPT'25) has proposed a novel framework for concurrently secure blind signatures which can be instantiated from isogenies with smaller signature size (but larger public key and secret key size). It is not known yet whether their construction can be extended to partially blind signatures.

In this paper, we present a new and efficient construction of partially blind signatures based on isogenies with substantially smaller signature and public key sizes than CSI-Otter. This makes our construction the most compact post-quantum partially blind signature scheme known to date. As similar to CSIOtter, our scheme uses small challenge space resulting in only achieving sequential concurrent security. Our design follows the Abe-Okamoto paradigm in the group action setting, building upon the framework introduced by Tessaro and Zhu (EUROCRYPT'22), whose security is based on the Discrete Logarithm Problem. We rigorously prove the security of our scheme in the Algebraic Group Action Model and the Random Oracle Model, under the hardness assumption of the Group Action Discrete Logarithm Problem.

Zero-knowledge Succinct Non-interactive Arguments of Knowledge (zk-SNARKs) are cryptographic protocols that allow a prover to convince verifiers of the correctness of a statement without revealing any additional information. Recent zk-SNARK constructions have shifted from univariate to multivariate polynomial-based designs, reducing the proving complexity from quasilinear to linear by avoiding costly univariate polynomial interpolation. This shift, however, makes the sumcheck protocol—a core primitive for verifying polynomial relations over the Boolean hypercube—the dominant component in the prover’s workload. Consequently, the iterative nature and intensive intermediate data movement of the sumcheck protocol introduce severe performance bottlenecks in CPU- and GPU-based implementations, especially for large-scale multivariate polynomials.

In this paper, we present PipeSC, a resource-efficient, ASIC-based accelerator for sumcheck. PipeSC combines deep pipelining, modular-multiplier reuse, and a finite-state machine-based dependency scheduler to sustain high utilization of computational resources across phases of the protocol. In addition, we introduce an Equality-MLE generation module that employs hierarchical scheduling and multiplier reuse, yielding a unified hardware substrate shared by multiple proving subroutines.

Against state-of-the-art CPU, GPU, and ASIC implementations, PipeSC delivers up to \textbf{5.02$\times$} speedup over the GPU implementation and up to \textbf{2756.2$\times$} speedup over the CPU implementation, while improving the area–time product (ATP) by up to \textbf{3.68$\times$} compared with the ASIC design. These results show that careful hardware–algorithm co-design and conflict-free scheduling substantially accelerate sumcheck, paving the way for fully integrated zk-SNARK hardware pipelines.

Adaptor signatures extend digital signatures with conditional disclosure capabilities, enabling atomic swaps, payment channels, and other advanced blockchain protocols. Although post-quantum adaptor signatures have been explored under lattice, isogeny, and coding-theoretic assumptions, no constructions have yet been realised from the multivariate quadratic (MQ) family of signatures. Classical algebraic adaptor techniques rely on embedding the witness into signing randomness, which is natural for discrete-log-based schemes but does not apply to MQ signatures such as UOV and MAYO: to the best of our knowledge, MQ signing randomness lacks the algebraic structure needed for witness embedding, and no such algebraic adaptor construction is currently known. This motivates a different approach. We propose MWAS, the first commitment-based adaptor-style construction for MQ signatures, specifically UOV and MAYO from the NIST PQC process, implemented via the Open Quantum Safe library. Our construction uses a lightweight HMAC-SHA256 commitment and a concatenation-based adaptation, supporting a hash-preimage witness relation. We prove correctness, witness hiding, and witness extractability in the ROM under MQ-hardness and PRF assumptions. A prototype implementation on a Raspberry Pi~5 shows pre-signature generation under 0.4~ms for UOV and 0.5--3.3~ms for MAYO across 128--256-bit security levels, with throughput up to 710~ops/s and public key sizes of 1.4~KB (MAYO) to 1.2~MB (UOV). These results indicate that commitment-based MQ adaptor signatures are a viable post-quantum option for settings where hash-preimage witness relations are appropriate.

Ensuring ciphertext indistinguishability is fundamental to cryptographic security, but empirically validating this property in real implementations and hybrid settings presents practical challenges. The transition to post-quantum cryptography (PQC), with its hybrid constructions combining classical and quantum-resistant primitives, makes empirical validation approaches increasingly valuable. By modeling indistinguishability under chosen-plaintext attack (IND-CPA) games as binary classification tasks and training on labeled ciphertext data with binary cross-entropy loss, we study deep neural network (DNN) distinguishers for ciphertext indistinguishability. We apply this methodology to PQC key encapsulation mechanisms (KEMs). We specifically test the public-key encryption (PKE) schemes used to construct examples such as ML-KEM, BIKE, and HQC. Moreover, a novel extension of this DNN modeling for empirical distinguishability testing of hybrid KEMs is presented. We implement and test this on combinations of PQC KEMs with unpadded RSA, RSA-OAEP, and plaintext. Finally, methodological generality is illustrated by applying the DNN IND-CPA classification framework to cascade symmetric encryption, where we test combinations of AES-CTR, AES-CBC, AES-ECB, ChaCha20, and DES-ECB. In our experiments on PQC algorithms, KEM combiners, and cascade encryption, no algorithm or combination of algorithms demonstrates a significant advantage (evaluated via two-sided binomial tests with significance level $\alpha = 0.01$), consistent with theoretical guarantees that hybrids including at least one IND-CPA-secure component preserve indistinguishability, and with the absence of exploitable patterns under the considered DNN adversary model. These illustrate the potential of using deep learning as an adaptive, practical, and versatile empirical estimator for indistinguishability in more general IND-CPA settings, allowing data-driven validation of implementations and compositions and complementing the analytical security analysis.

The Learning with Errors (LWE) problem forms the foundation for numerous post-quantum cryptographic schemes, such as the NIST-selected CRYSTALS-KYBER and CRYSTALS-DILITHIUM. Algebraic analysis on LWE traditionally relies on solving the Arora-Ge system via Gröbner bases, yet its performance is far from satisfactory when only a limited number of samples is available. Meanwhile, recent dual attacks have proven highly effective against concrete LWE-based algorithms. This gap motivates us to investigate whether integrating the technique from dual attacks into algebraic analysis can have a positive effect.

We propose a novel, two-stage algebraic algorithm for LWE. First, dual lattice reduction is applied to transform the original samples into a reduced dimension. From an algebraic perspective, this stage reduces the number of variables at the cost of increasing the noise. Second, instead of solving the classic Arora-Ge system, we introduce a new polynomial construction that exploits the error distribution and solves it via a resultant-based method. When given \(m = n\) samples, our two-stage algorithm yields better complexity estimates for CRYSTALS-KYBER than Gröbner bases reported in Steiner’s work (Eurocrypt~2024). As an independent contribution, we show that for LWE with a small secret, applying the resultant-based method directly to the Arora-Ge system provides a provable complexity estimate that achieves an exponential speed-up over the proven bounds established by Steiner.

Finally, we show how various forms of side information---namely, perfect hints, modular hints, and approximate hints---can be systematically incorporated into our two-stage algorithm.

Emerging 6G communication systems impose unprecedented requirements on cryptographic primitives, demanding ultra-high throughput, low latency, and strong resistance to implementation-level attacks. LOL2.0 is a recently proposed stream cipher framework that achieves high software efficiency and strong security in post-quantum settings. While several stream ciphers have been proposed to address performance demands, side-channel-protected hardware implementations capable of sustaining 6G-class throughput remain largely unexplored.

In this work, we present the first side-channel-protected hardware implementation that meets the 6G-class throughput demand. Focusing on the LOL2.0 stream cipher framework, we leverage Time Sharing Masking to achieve first-order security under the glitch-extended probing model. This design realizes full-phase protection covering initialization, keystream generation, and tag generation. To address diverse deployment requirements, we design two masked architectures: a compact variant optimized for area and randomness efficiency, and a fast variant targeting the maximum achievable throughput.

The proposed fast implementations achieve peak throughputs of 183 Gbps and 142 Gbps for the unmasked and masked configurations, respectively. Meanwhile, the compact architecture reduces hardware cost by achieving areas as low as 23.25 kGE and 141.98 kGE in unmasked and masked designs, respectively, while still maintaining competitive throughput. Security is validated through practical side-channel evaluations using Test Vector Leakage Assessment on FPGA platforms. Across up to 100 million measured power traces, no statistically significant first-order leakage is observed for any protected configuration.

Overall, this work realizes side-channel-protected stream cipher hardware that sustains ultra-high throughput, providing a concrete path toward secure cryptographic deployment in future 6G communication systems.

Zero-knowledge proof (ZKP) schemes enable a prover to convince a verifier of the validity of a statement without revealing the underlying secret. These schemes have found extensive applications in secure communications, privacy-preserving transactions and blockchain technologies. However, the computational cost of proof generation remains a major obstacle to practical deployment. Although various acceleration techniques have been proposed, they often rely on specialized hardware that may not be locally available. A promising yet underexplored alternative is to offload computation to a more powerful third party, such as a cloud server, in a secure and efficient manner. Rather than outsourcing the entire proof generation process, selectively offloading the most computationally intensive operations offers greater flexibility and simplicity. In this work, we propose a secure outsourcing scheme for multi-scalar multiplication (MSM), which is the most computationally expensive operation in many widely used ZKP protocols. Our scheme enables users to delegate MSM computations to a server while preserving the confidentiality of the secret inputs (i.e., the scalars) and allowing verification of the server’s output. Our performance analysis shows that the proposed scheme significantly reduces the computational burden on the user while imposing only minimal overhead on the server.

Threshold RSA signatures face a fundamental obstacle: reconstructing the private exponent from Shamir shares requires Lagrange coefficients whose computation involves modular division by values tied to $\phi(N)$, which must remain hidden. This obstacle is particularly acute for critical deployments such as Intel SGX code signing, which mandates $e=3$. Existing $e=3$-compatible approaches incur substantial overhead, increased share sizes, or sacrifice security properties such as perfect secrecy. This work introduces the integer coordinate framework, achieving $e=3$ support with EUF-CMA security under the standard RSA assumption alone. By carefully selecting interpolation coordinates that yield integer-valued Lagrange coefficients, we eliminate all modular inversions modulo $\phi(N)$, requiring only standard integer arithmetic and modular exponentiation. The framework achieves $O(\kappa)$-bit share sizes, perfect secrecy, and computational efficiency previously unattained for $e=3$-compatible schemes.

Although we currently lack an efficient general algorithm for constructing coordinate sets for arbitrary $(t,n)$—a challenging open problem for future work—the coordinate families found via heuristic search achieve coverage for $2 \leq t \leq n \leq 9$ and selected $n=10$ configurations, sufficient for small boardroom-size deployments. The resulting online protocol is extremely simple and immediately enables practical $e=3$ threshold RSA for Intel SGX and similar applications.