Fair and efficient secure multiparty computation with reputation systems

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

20 Scopus citations

Abstract

A reputation system for a set of entities is essentially a list of scores that provides a measure of the reliability of each entity in the set. The score given to an entity can be interpreted (and in the reputation system literature it often is [12]) as the probability that an entity will behave honestly. In this paper, we ask whether or not it is possible to utilize reputation systems for carrying out secure multiparty computation. We provide formal definitions of secure computation in this setting, and carry out a theoretical study of feasibility. We present almost tight results showing when it is and is not possible to achieve fair secure computation in our model. We suggest applications for our model in settings where some information about the honesty of other parties is given. This can be preferable to the current situation where either an honest majority is arbitrarily assumed, or a protocol that is secure for a dishonest majority is used and the efficiency and security guarantees (including fairness) of an honest majority are not obtained.

Original languageEnglish
Title of host publicationAdvances in Cryptology, ASIACRYPT 2013 - 19th International Conference on the Theory and Application of Cryptology and Information Security, Proceedings
Pages201-220
Number of pages20
EditionPART 2
DOIs
StatePublished - 2013
Event19th International Conference on the Theory and Application of Cryptology and Information Security, ASIACRYPT 2013 - Bengaluru, India
Duration: 1 Dec 20135 Dec 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8270 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on the Theory and Application of Cryptology and Information Security, ASIACRYPT 2013
Country/TerritoryIndia
CityBengaluru
Period1/12/135/12/13

Bibliographical note

Funding Information:
This research was supported by the European Research Council under the European Union’s Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n. 239868.

Funding

This research was supported by the European Research Council under the European Union’s Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n. 239868.

FundersFunder number
Seventh Framework ProgrammeFP/2007-2013, 239868
European Commission

    Keywords

    • new models
    • reputation systems
    • secure multiparty computation

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