Paper 2021/1576

Shared Permutation for Syndrome Decoding: New Zero-Knowledge Protocol and Code-Based Signature

Abstract

Zero-knowledge proofs are an important tool for many cryptographic protocols and applications. The threat of a coming quantum computer motivates the research for new zero-knowledge proof techniques for (or based on) post-quantum cryptographic problems. One of the few directions is code-based cryptography for which the strongest problem is the syndrome decoding (SD) of random linear codes. This problem is known to be NP-hard and the cryptanalysis state of affairs has been stable for many years. A zero-knowledge protocol for this problem was pioneered by Stern in 1993. As a simple public-coin three-round protocol, it can be converted to a post-quantum signature scheme through the famous Fiat-Shamir transform. The main drawback of this protocol is its high soundness error of $$, meaning that it should be repeated $$ times to reach a $$-bit security. In this paper, we improve this three-decade-old state of affairs by introducing a new zero-knowledge proof for the syndrome decoding problem on random linear codes. Our protocol achieves a soundness error of 1/n for an arbitrary n in complexity O(n). Our construction requires the verifier to trust some of the variables sent by the prover which can be ensured through a cut-and-choose approach. We provide an optimized version of our zero-knowledge protocol which achieves arbitrary soundness through parallel repetitions and merged cut-and-choose phase. While turning this protocol into a signature scheme, we achieve a signature size of 17 KB for 128-bit security. This represents a significant improvement over previous constructions based on the syndrome decoding problem for random linear codes.