Introducing a Framework to Enable Anonymous Secure Multi-Party Computation in Practice

Malte Breuer, Ulrike Meyer, Susanne Wetzel

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

2 Scopus citations

Abstract

Secure Multi-Party Computation (SMPC) allows a set of parties to securely compute a functionality in a distributed fashion without the need for any trusted external party. Usually, it is assumed that the parties know each other and have already established authenticated channels among each other. However, in practice the parties sometimes must stay anonymous. In this paper, we conceptualize a framework that enables the repeated execution of an SMPC protocol for a given functionality such that the parties can keep their participation in the protocol executions private and at the same time be sure that only authorized parties may take part in a protocol execution. We identify the security properties that an implementation of our framework must meet and introduce a first implementation of the framework that achieves these properties.

Original languageEnglish
Title of host publication2021 18th International Conference on Privacy, Security and Trust, PST 2021
ISBN (Electronic)9781665401845
DOIs
StatePublished - 2021
Event18th International Conference on Privacy, Security and Trust, PST 2021 - Auckland, New Zealand
Duration: 13 Dec 202115 Dec 2021

Publication series

Name2021 18th International Conference on Privacy, Security and Trust, PST 2021

Conference

Conference18th International Conference on Privacy, Security and Trust, PST 2021
Country/TerritoryNew Zealand
CityAuckland
Period13/12/2115/12/21

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