1,720,968 research outputs found
Building MPCitH-based Signatures from MQ, MinRank, Rank SD and PKP
Get PDFThe MPC-in-the-Head paradigm is a useful tool to build practical signature schemes. Many such schemes have been already proposed, relying on different assumptions. Some are relying on standard symmetric primitives like AES, some are relying on MPC-friendly primitives like LowMC or Rain, and some are relying on well-known hard problems like the syndrome decoding problem.
This work focuses on the third type of MPCitH-based signatures. Following the same methodology as the work of Feneuil, Joux and Rivain (CRYPTO\u2722), we apply the MPC-in-the-Head paradigm to several problems: the multivariate quadratic problem, the MinRank problem, the rank syndrome decoding problem and the permuted kernel problem. Our goal is to study how this paradigm behaves for each of those problems.
For the multivariate quadratic problem, our scheme outperforms slightly the existing schemes when considering large fields (as ), and for the permuted kernel problem, we obtain larger sizes. Even if both schemes do not outperform the existing ones according to the communication cost, they are highly parallelizable and compatible with some MPC-in-the-Head techniques (like fast signature verification) while the former proposals were not.
Moreover, we propose two efficient MPC protocols to check that the rank of a matrix over a field is upper bounded by a public constant. The first one relies on the rank decomposition while the second one relies on -polynomials. We then use them to build signature schemes relying on the MinRank problem and the rank syndrome decoding problem. Those schemes outperform the former schemes, achieving sizes below KB (while using only 256 parties for the MPC protocol)
CAPSS: A Framework for SNARK-Friendly Post-Quantum Signatures
Get PDFIn this paper, we present a general framework for constructing SNARK-friendly post-quantum signature schemes based on minimal assumptions, specifically the security of an arithmetization-oriented family of permutations. The term SNARK-friendly here refers to the efficiency of the signature verification process in terms of SNARK constraints, such as R1CS constraints. Within the CAPSS framework, signature schemes are designed as proofs of knowledge of a secret preimage of a one-way function, where the one-way function is derived from the chosen permutation family. To obtain compact signatures with SNARK-friendly verification, we rely on SmallWood, a recently proposed hash-based zero-knowledge argument scheme well suited for statements arising in this context. From this proof system which we tweak towards SNARK-friendliness, the CAPSS framework offers a generic transformation of any arithmetization-oriented permutation family into a SNARK-friendly post-quantum signature scheme. We provide concrete instances built on permutations such as Rescue-Prime, Poseidon, Griffin, and Anemoi. For the Anemoi family, achieving 128-bit security, our approach produces signatures of sizes ranging from 9.5 to 15.5 KB, with R1CS constraints between 24K and 35K. This represents a 4-6x reduction in signature size and a 5-8x reduction in R1CS constraints compared to Loquat (CRYPTO 2024), a SNARK-friendly post-quantum signature scheme based on the Legendre PRF. We showcase CAPSS through aggregated signatures, achieving sub-kilobyte amortized size for large batches, and anonymous credentials, enabling presentation proofs under 150 KB, thus highlighting the practicality of SNARK-friendly, symmetric-based designs for post-quantum primitives
SmallWood: Hash-Based Polynomial Commitments and Zero-Knowledge Arguments for Relatively Small Instances
Get PDFZero-knowledge proofs (ZKPs) are a fundamental building block in cryptography, enabling powerful privacy-preserving and verifiable computations. In the post-quantum era, hash-based ZKPs have emerged as a promising direction due to their conjectured resistance to quantum attacks, along with their simplicity and efficiency.
In this work, we introduce SmallWood, a hash-based polynomial commitment scheme (PCS) and zero-knowledge argument system optimized for relatively small instances. Building on the recent degree-enforcing commitment scheme (DECS) from the Threshold-Computation-in-the-Head (TCitH) framework, we refine its formalization and combine it with techniques from Brakedown. This results in a new hash-based PCS that is particularly efficient for polynomials of relatively small degree —typically up to — outperforming existing approaches in this range.
Leveraging this new PCS, we design a hash-based zero-knowledge argument system that outperforms the state-of-the-art in terms of proof sizes for witness size ranging from to . Additionally, we present exact zero-knowledge arguments for lattice-based problems using SmallWood, demonstrating highly competitive performance: our scheme yields proof sizes under 25 KB across a wide range of lattice parameters, including Kyber and Dilithium instances
Threshold Linear Secret Sharing to the Rescue of MPC-in-the-Head
Get PDFThe MPC-in-the-Head paradigm is a popular framework to build zero-knowledge proof systems using techniques from secure multi-party computation (MPC). While this paradigm is not restricted to a particular secret sharing scheme, all the efficient instantiations for small circuits proposed so far rely on additive secret sharing.
In this work, we show how applying a threshold linear secret sharing scheme (threshold LSSS) can be beneficial to the MPC-in-the-Head paradigm. For a general passively-secure MPC protocol model capturing most of the existing MPCitH schemes, we show that our approach improves the soundness of the underlying proof system from down to , where is the number of parties and is the privacy threshold of the sharing scheme. While very general, our technique is limited to a number of parties , where is the field underlying the statement, because of the MDS conjecture.
Applying our approach with a low-threshold LSSS also boosts the performance of the proof system by making the MPC emulation cost independent of for both the prover and the verifier. The gain is particularly significant for the verification time which becomes logarithmic in (while the prover still has to generate and commit the input shares). We further generalize and improve our framework: we show how homomorphic commitments can get rid of the linear complexity of the prover, we generalize our result to any quasi-threshold LSSS, and we describe an efficient batching technique relying on Shamir\u27s secret sharing.
We finally apply our techniques to specific use-cases. We first propose a variant of the recent SDitH signature scheme achieving new interesting trade-offs. In particular, for a signature size of 10 KB, we obtain a verification time lower than ms, which is competitive with SPHINCS+, while achieving much faster signing. We further apply our batching technique to two different contexts: batched SDitH proofs and batched proofs for general arithmetic circuits based on the Limbo proof system. In both cases, we obtain an amortized proof size lower than of the baseline scheme when batching a few dozen statements, while the amortized performances are also significantly improved
Threshold Computation in the Head: Improved Framework for Post-Quantum Signatures and Zero-Knowledge Arguments
Get PDFThe MPC-in-the-Head paradigm is instrumental in building zero-knowledge proof systems and post-quantum signatures using techniques from secure multi-party computation. In this work, we extend and improve the recently proposed framework of MPC-in-the-Head based on threshold secret sharing, here called Threshold Computation in the Head. We first address some limitations of this framework, namely its overhead in the communication cost, its constraint on the number of parties and its degradation of the soundness. Our tweak of this framework makes it applicable to the previous MPCitH schemes (and in particular post-quantum signature candidates recently submitted to NIST) for which we obtain up to 50% timing improvements without degrading the signature size. Then we extend the TCitH framework to support quadratic (or higher degree) MPC round functions as well as packed secret sharing. We show the benefits of our extended framework for several applications. First we provide post-quantum zero-knowledge arguments for arithmetic circuits which improve the state of the art in the small to medium size regime. Then we apply our extended framework to derive improved variants of the MPCitH candidates submitted to NIST. For most of them, we save between 5% and 37% of the signature size. We further propose a generic way to build efficient post-quantum ring signatures from any one-way function. When applying our TCitH framework to this design to concrete one-way functions, the obtained scheme outperforms all the previous proposals in the state of the art. For instance, our scheme instantiated with MQ achieves sizes below 6 KB and timings around 10 ms for a ring of 4000 users. Finally, we provide exact arguments for lattice problems. Our scheme is competitive with state-of-the-art zero-knowledge lattice techniques and achieves proofs around 15 KB for LWE instances with similar security as Kyber512. We conclude our work by exhibiting strong connections between the TCitH framework and other proof systems (namely VOLE-in-the-Head and Ligero) which thus unifies different MPCitH-like proof systems under the same umbrella
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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