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Parallel Multi-party Computation from Linear Multi-secret Sharing Schemes

  • Zhifang Zhang
  • Mulan Liu
  • Liangliang Xiao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3788)

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 f 1,...,f m and m adversary structures \(\mathcal{A}_1,...,\mathcal{A}_m\), where f i 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.

Keywords

Boolean Function Access Structure Sharing Scheme Target Vector Secret Sharing Scheme 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Zhifang Zhang
    • 1
  • Mulan Liu
    • 1
  • Liangliang Xiao
    • 2
  1. 1.Academy of Mathematics and Systems Science, Key Laboratory of Mathematics MechanizationChinese Academy of SciencesBeijingChina
  2. 2.Institute of SoftwareChinese Academy of SciencesBeijingChina

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