Parallel multi-party computation from linear multi-secret sharing schemes

  • Authors:
  • Zhifang Zhang;Mulan Liu;Liangliang Xiao

  • Affiliations:
  • Academy of Mathematics and Systems Science, Key Laboratory of Mathematics Mechanization, Chinese Academy of Sciences, Beijing, China;Academy of Mathematics and Systems Science, Key Laboratory of Mathematics Mechanization, Chinese Academy of Sciences, Beijing, China;Institute of Software, Chinese Academy of Sciences, Beijing, China

  • Venue:
  • ASIACRYPT'05 Proceedings of the 11th international conference on Theory and Application of Cryptology and Information Security
  • Year:
  • 2005

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Abstract

As an extension of multi-party computation (MPC), we propose the concept of secure parallel multi-party computation which is to securely compute multi-functions against an adversary with multi-structures. Precisely, there are m functions f1,...,fm and m adversary structures $\mathcal{A}_1,...,\mathcal{A}_m$, where fi is required to be securely computed against an $\mathcal{A}_i$-adversary. We give a general construction to build a parallel multi-party computation protocol from any linear multi-secret sharing scheme (LMSSS), provided that the access structures of the LMSSS allow MPC at all. When computing complicated functions, our protocol has more advantage in communication complexity than the “direct sum” method which actually executes a MPC protocol for each function. The paper also provides an efficient and generic construction to obtain from any LMSSS a multiplicative LMSSS for the same multi-access structure.