CRJan 11, 2018

Breaking Mignotte's Sequence Based Secret Sharing Scheme Using SMT Solver

arXiv:1801.03758v11 citations
Originality Synthesis-oriented
AI Analysis

This work addresses a security vulnerability in cryptographic secret sharing schemes, but it appears incremental as it builds on existing methods without broad impact.

The paper tackles the problem of reconstructing secrets in Mignotte's sequence-based secret sharing scheme with fewer shares than the threshold, proposing a new method using an SMT solver to achieve this, though no concrete numbers are provided.

The secret sharing schemes are the important tools in cryptography that are used as building blocks in many secured protocols. It is a method used for distributing a secret among the participants in a manner that only the threshold number of participants together can recover the secret and the remaining set of participants cannot get any information about the secret. Secret sharing schemes are absolute for storing highly sensitive and important information. In a secret sharing scheme, a secret is divided into several shares. These shares are then distributed to the participants one each and thus only the threshold (t) number of participants can recover the secret. In this paper we have used Mignotte's Sequence based Secret Sharing for distribution of shares to the participants. A (k, m) Mignotte's sequence is a sequence of pair wise co-prime positive integers. We have proposed a new method for reconstruction of secret even with t-1 shares using the SMT solver.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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