One-Round Secure Multiparty Computation of Arithmetic Streams and Functions: (Extended Abstract)

Dor Bitan, Shlomi Dolev

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Efficient secure multiparty computation (SMPC) schemes over secret shares are presented. We consider scenarios in which the secrets are elements of a finite field, Fp, and are held and shared by a single participant, the user. Evaluation of any function (formula presented) is implemented in one round of communication by representing f as a multivariate polynomial. Our schemes are based on partitioning secrets to sums or products of random elements of the field. Secrets are shared using either (multiplicative) shares whose product is the secret or (additive) shares that sum upto the secret. Sequences of additions of secrets are implemented locally by addition of local shares, requiring no communication among participants, and so does sequences of multiplications of secrets. The shift to handle a sequence of additions from the execution of multiplications or vice versa is efficiently handled as well with no need to decrypt the secrets in the course of the computation. On each shift from multiplications to additions or vice versa, the current set of participants is eliminated, and a new set of participants becomes active. Assuming no coalitions among the active participants and the previously eliminated participants are possible, our schemes are information-theoretically secure with a threshold of all active participants. Our schemes can also be used to support SMPC of boolean circuits.

Original languageEnglish
Title of host publicationCyber Security Cryptography and Machine Learning - Second International Symposium, CSCML 2018, Proceedings
EditorsItai Dinur, Shlomi Dolev, Sachin Lodha
PublisherSpringer Verlag
Pages255-273
Number of pages19
ISBN (Print)9783319941462
DOIs
StatePublished - 17 Jun 2018
Event2nd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2018 - Beer-Sheva, Israel
Duration: 21 Jun 201822 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10879 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2018
Country/TerritoryIsrael
CityBeer-Sheva
Period21/06/1822/06/18

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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