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Regular Syndrome Decoding easier than prior estimates, paper finds

Original title: Regular Syndrome Decoding Is Easier Than Previously Estimated

arXiv cs.CRby Jiseung Kim ()1 min read3 · 3 reads
AI summary · x-ai/grok-4.7Summaries by Vani AI

Authors say widely used RSD parameters miss 128-bit targets, with losses approaching 67 bits.

A paper revisits Regular Syndrome Decoding, used in zero-knowledge protocols, pseudorandom correlation generators, and MPC-in-the-Head signatures. A hybrid algebraic attack coordinates zero-coordinate guesses with syndrome-based eliminations across regular blocks. For Ferret, Wolverine, and committed VOLE, at least one parameter set per application falls below a 128-bit target, with losses approaching 67 bits. Estimated PCG attack costs improve by up to 29.77 and 25.91 bits, and revised Liu et al. sets sit below 2^111 field operations.

Unconfirmed: Attack costs are the authors' estimates, not demonstrated breaks of deployed systems.

Key facts
  • The method balances guessing cost while keeping equations for linearization.
  • Non-binary PCG attack costs improve by up to 29.77 bits.
  • Binary-field PCG improvements reach 25.91 bits over prior best attacks.
  • Revised Liu et al. 128-bit PCG sets are estimated below 2^111 operations.
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From the original article

1 min read at arxiv.org

The Regular Syndrome Decoding (RSD) problem is a structured variant of classical Syndrome Decoding and underlies a growing number of efficient cryptographic constructions, including zero knowledge protocols, pseudorandom correlation generators, and MPC in the Head signatures.

arXiv cs.CR

By Jiseung Kim · arxiv.org

Read the full article at arXiv cs.CR

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.