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RQC Revisited and More Cryptanalysis for Rank-Based Cryptography

Authors: Loïc Bidoux; Pierre Briaud; Maxime Bros; Philippe Gaborit;

RQC Revisited and More Cryptanalysis for Rank-Based Cryptography

Abstract

We propose two main contributions: first, we revisit the encryption scheme Rank Quasi-Cyclic (RQC) by introducing new efficient variations, in particular, a new class of codes, the Augmented Gabidulin codes; second, we propose new attacks against the Rank Support Learning (RSL), the Non-Homogeneous Rank Decoding (NHRSD), and the Non-Homogeneous Rank Support Learning (NHRSL) problems. RSL is primordial for all recent rank-based cryptosystems such as Durandal (Aragon et al., EUROCRYPT 2019) or LRPC with multiple syndromes (arXiv:2206.11961), moreover, NHRSD and NHRSL, together with RSL, are at the core of our new schemes. The new attacks we propose are of both types: combinatorial and algebraic. For all these attacks, we provide a precise analysis of their complexity. Overall, when all of these new improvements for the RQC scheme are put together, and their security evaluated with our different attacks, they enable one to gain 50% in parameter sizes compared to the previous RQC version. More precisely, we give very competitive parameters, around 11 KBytes, for RQC schemes with unstructured public key matrices. This is currently the only scheme with such short parameters whose security relies solely on pure random instances without any masking assumptions, contrary to McEliece-like schemes. At last, when considering the case of Non-Homogeneous errors, our scheme permits to reach even smaller parameters.

Keywords

FOS: Computer and information sciences, Computer Science - Cryptography and Security, 500, Encryption, [INFO] Computer Science [cs], 004, Rank Metric, [INFO]Computer Science [cs], Gabidulin Codes, Code-Based Cryptography, Cryptography and Security (cs.CR)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green