Fair and privacy-preserving multi-party protocols for reconciling ordered input sets

  • Authors:
  • Georg Neugebauer;Ulrike Meyer;Susanne Wetzel

  • Affiliations:
  • LuFG IT-Security, UMIC Research Centre, RWTH Aachen University, Aachen, Germany;LuFG IT-Security, UMIC Research Centre, RWTH Aachen University, Aachen, Germany;Department of Computer Science, Stevens Institute of Technology, NJ

  • Venue:
  • ISC'10 Proceedings of the 13th international conference on Information security
  • Year:
  • 2010

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Abstract

In this paper, we introduce the first protocols for multiparty, privacy-preserving, fair reconciliation of ordered sets. Our contributions are twofold. First, we show that it is possible to extend the round-based construction for fair, two-party privacy-preserving reconciliation of ordered sets to multiple parties using a multiparty privacy-preserving set intersection protocol. Second, we propose new constructions for fair, multi-party, privacy-preserving reconciliation of ordered sets based on multiset operations. We prove that all our protocols are privacy-preserving in the semi-honest model.We furthermore provide a detailed performance analysis of our new protocols and show that the constructions based on multisets generally outperform the round-based approach.