Privacy-preserving conditional random selection

Stefan Wuller, Ulrike Meyer, Fabian Forg, Susanne Wetzel

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

7 Scopus citations

Abstract

In this paper, we introduce a new primitive - referred to as conditional random selection. This new primitive allows the random selection of a data record from the subset of data records that meet a specified condition. We present a new privacy-preserving protocol that implements the new primitive and is secure in the semi-honest model. At its core, it uses newly developed protocols for oblivious shuffling, oblivious swapping, and privacy-preserving less than comparison on binary values with shared output. We show the relevance of conditional random selection in various application scenarios.

Original languageEnglish
Title of host publication2015 13th Annual Conference on Privacy, Security and Trust, PST 2015
EditorsHuseyin Hisil, Ali Ghorbani, Joaquin Garcia-Alfaro, Ahmet Koltuksuz, Vincenc Torra, Jie Zhang, Murat Sensoy, Ibrahim Zincir, Ali Miri
Pages44-53
Number of pages10
ISBN (Electronic)9781467378284
DOIs
StatePublished - 31 Aug 2015
Event13th Annual Conference on Privacy, Security and Trust, PST 2015 - Izmir, Turkey
Duration: 21 Jul 201523 Jul 2015

Publication series

Name2015 13th Annual Conference on Privacy, Security and Trust, PST 2015

Conference

Conference13th Annual Conference on Privacy, Security and Trust, PST 2015
Country/TerritoryTurkey
CityIzmir
Period21/07/1523/07/15

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