Privacy - Preserving Multi-Party Conditional Random Selection

Stefan Wuller, Benjamin Assadsolimani, Ulrike Meyer, Fabian Forg, Susanne Wetzel

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

1 Scopus citations

Abstract

The primitive of conditional random selection allows the selection of a data record uniformly at random from the subset of data records that meet a specified condition. In this paper, we extend a previously introduced privacy-preserving two-party protocol (that implements this primitive in the context of passive adversaries) to the multi-party case. Additionally, we provide a comprehensive performance analysis of the newly designed protocol and discuss application scenarios.

Original languageEnglish
Title of host publication2019 17th International Conference on Privacy, Security and Trust, PST 2019 - Proceedings
EditorsAli Ghorbani, Indrakshi Ray, Arash Habibi Lashkari, Jie Zhang, Rongxing Lu
ISBN (Electronic)9781728132655
DOIs
StatePublished - Aug 2019
Event17th International Conference on Privacy, Security and Trust, PST 2019 - Fredericton, Canada
Duration: 26 Aug 201928 Aug 2019

Publication series

Name2019 17th International Conference on Privacy, Security and Trust, PST 2019 - Proceedings

Conference

Conference17th International Conference on Privacy, Security and Trust, PST 2019
Country/TerritoryCanada
CityFredericton
Period26/08/1928/08/19

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