A relative privacy model for effective privacy preservation in transactional data

Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li, K. R. Choo

Research output: Book chapter/Published conference paperConference paper

3 Citations (Scopus)

Abstract

Transactional data such as shopping logs, web search queries and medical notes present enormous opportunities for knowledge discovery through data mining. When such data is published for knowledge discovery, privacy disclosure risks arise, making privacy preserving publication a fundamental requirement. However, existing publication mechanisms do not fully prevent an adversary from making an inference about the intended victim. While some solutions to this problem exist for the publication of relational data, they are not transferable to the publication of transactional data due to the difference in data models. This work aims to prevent inference attacks in the publication of transactional data by proposing a relative privacy metric that ensures that the knowledge gain of an adversary about any individual from the published data is bound to the general public knowledge. We then propose a publication mechanism Anony, which satisfies the proposed privacy metric without having to use excessively large cluster sizes. Finally, we evaluate our publication mechanism using two benchmark datasets and the results demonstrate that the proposed mechanism is effective and efficient.
Original languageEnglish
Title of host publication2017 IEEE Trustcom/BigDataSE/ICESS
PublisherIEEE
Pages394-401
Number of pages8
ISBN (Print)2324-9013
DOIs
Publication statusPublished - 11 Sep 2017
EventIEEE International Conference on Trust, Security and Privacy in Computing and Communications: TrustCom 2017 - Sydney, Australia
Duration: 01 Aug 201704 Aug 2017
https://web.archive.org/web/20170715141606/http://www.stprp-activity.com/TrustCom2017

Conference

ConferenceIEEE International Conference on Trust, Security and Privacy in Computing and Communications
CountryAustralia
CitySydney
Period01/08/1704/08/17
Internet address

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