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Towards Finding Best Linear Codes for Side-Channel Protections

17 pagesPublished: October 3, 2022


Side-channel attacks aim at extracting secret keys from cryptographic devices. Ran- domly masking the implementation is a provable way to protect the secrets against this threat. Recently, various masking schemes have converged to the “code-based masking” philosophy. In code-based masking, different codes allow for different levels of side-channel security. In practice, for a given leakage function, it is important to select the code which enables the best resistance, i.e., which forces the attacker to capture and analyze the largest number of side-channel traces.
This paper is a first attempt to address the constructive selection of the optimal codes in the context of side-channel countermeasures, in particular for code-based masking when the device leaks information in the Hamming weight leakage model. We show that the problem is related to the weight enumeration of the extended dual of the masking code. We first present mathematical tools to study those weight enumeration polynomials, and then provide an efficient method to search for good codes, based on a lexicographic sorting of the weight enumeration polynomial from lowest to highest degrees.

Keyphrases: Code-based Masking Scheme, Information-Theoretic Metric, linear code, side-channel analysis, weight distribution

In: Ulrich Kühne and Fan Zhang (editors). Proceedings of 10th International Workshop on Security Proofs for Embedded Systems, vol 87, pages 83--99

BibTeX entry
  author    = {Wei Cheng and Yi Liu and Sylvain Guilley and Olivier Rioul},
  title     = {Towards Finding Best Linear Codes for Side-Channel Protections},
  booktitle = {Proceedings of 10th International Workshop on Security Proofs for Embedded Systems},
  editor    = {Ulrich K\textbackslash{}"uhne and Fan Zhang},
  series    = {EPiC Series in Computing},
  volume    = {87},
  pages     = {83--99},
  year      = {2022},
  publisher = {EasyChair},
  bibsource = {EasyChair,},
  issn      = {2398-7340},
  url       = {},
  doi       = {10.29007/bnrc}}
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