Leveraging the "Multi" in Secure Multi-Party Computation

Jaideep Vaidya, Chris Clifton

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

18 Scopus citations

Abstract

Secure Multi-Party Computation enables parties with private data to collaboratively compute a global function of their private data, without revealing that data. The increase in sensitive data on networked computers, along with improved ability to integrate and utilize that data, make the time ripe for practical secure multi-party computation. This paper surveys approaches to secure multi-party computation, and gives a method whereby an efficient protocol for two parties using an untrusted third party can be used to construct an efficient peer-to-peer secure multi-party protocol.

Original languageEnglish (US)
Title of host publicationProceedings of the 2003 ACM Workshop on Privacy in the Electronic Society, WPES 2003
EditorsP. Samarati, P. Syverson
PublisherAssociation for Computing Machinery
Pages53-59
Number of pages7
ISBN (Print)1581137761, 9781581137767
DOIs
StatePublished - 2003
Externally publishedYes
EventProceedings of the 2003 ACM Workshop on Privacy in the Electronic Society, WPES 2003 - Washington, DC, United States
Duration: Oct 30 2003Oct 30 2003

Publication series

NameProceedings of the ACM Workshop on Privacy in the Electronic Society

Other

OtherProceedings of the 2003 ACM Workshop on Privacy in the Electronic Society, WPES 2003
Country/TerritoryUnited States
CityWashington, DC
Period10/30/0310/30/03

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications

Keywords

  • Privacy
  • Secure Distributed Computation
  • Secure Multi-party Computation

Cite this