基于Q-ary综合征解码的零知识识别

Rong Hu, Kirill Morozov, T. Takagi
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引用次数: 4

摘要

cayrel等在SAC 2010提出了一种基于q-ary码的综合征解码的零知识识别方案。该方案为5道方案,可靠性误差为q/2(q-1)。我们提出了一种替代方案,将(二进制)Stern零知识识别从CRYPTO 1993直接推广到q-ary设置。我们的建议是一个3-pass方案,可靠性误差为2/3。我们证明了在q ={3,4}的情况下,该方案在通信成本方面优于Cayrel等方案。具有小q的基于q-ary代码的识别方案的一个可能应用是对基于代码的公钥加密的明文知识的证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Zero-Knowledge Identification Based on Q-ary Syndrome Decoding
Cayrel.et.al at SAC 2010 proposed a zero-knowledge identification scheme based on syndrome decoding of q-ary codes. It is a 5-pass scheme with soundness error q/2(q-1). We propose an alternative to this scheme by generalizing (binary) Stern zero-knowledge identification from CRYPTO 1993 directly to q-ary setting. Our proposal is a 3-pass scheme with soundness error 2/3. We show that it is superior to Cayrel et al scheme in terms of communication cost for the case q = {3, 4}. A possible application for q-ary code-based identification schemes with small q is a proof of plaintext knowledge for code-based public key encryption.
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