Practical multi-party private set intersection from symmetric-key techniques

Vladimir Kolesnikov, Naor Matania, Benny Pinkas, Mike Rosulek, Ni Trieu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Scopus citations

Abstract

We present a new paradigm for multi-party private set intersection (PSI) that allows n parties to compute the intersection of their datasets without revealing any additional information. We explore a variety of instantiations of this paradigm. Our protocols avoid computationally expensive public-key operations and are secure in the presence of any number of semi-honest participants (i.e., without an honest majority). We demonstrate the practicality of our protocols with an implementation. To the best of our knowledge, this is the first implementation of a multi-party PSI protocol. For 5 parties with data-sets of 220 items each, our protocol requires only 72 seconds. In an optimization achieving a slightly weaker variant of security (augmented semi-honest model), the same task requires only 22 seconds. The technical core of our protocol is oblivious evaluation of a programmable pseudorandom function (OPPRF), which we instantiate in three different ways. We believe our new OPPRF abstraction and constructions may be of independent interest.

Original languageEnglish (US)
Title of host publicationCCS 2017 - Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security
PublisherAssociation for Computing Machinery
Pages1257-1272
Number of pages16
ISBN (Electronic)9781450349468
DOIs
StatePublished - Oct 30 2017
Externally publishedYes
Event24th ACM SIGSAC Conference on Computer and Communications Security, CCS 2017 - Dallas, United States
Duration: Oct 30 2017Nov 3 2017

Publication series

NameProceedings of the ACM Conference on Computer and Communications Security
ISSN (Print)1543-7221

Conference

Conference24th ACM SIGSAC Conference on Computer and Communications Security, CCS 2017
CountryUnited States
CityDallas
Period10/30/1711/3/17

Keywords

  • Oblivious PRF
  • Private Set Intersection
  • Secure Multiparty Computation

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications

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