Privacy preservation of social network users against attribute inference attacks via malicious data mining

Khondker Jahid Reza, M. Zahidul Islam, Vladimir Estivill-Castro

Research output: Book chapter/Published conference paperConference paper

2 Citations (Scopus)

Abstract

Online social networks (OSNs) are currently a popular platform for social interactions among people. Usually, OSN users upload various contents including personal information on their profiles. The ability to infer users' hidden information or information that has not been even uploaded (i.e. private/sensitive information) by an unauthorised agent is commonly known as attribute inference problem. In this paper, we propose 3LP+, a privacy-preserving technique, to protect users' sensitive information leakage. We apply 3LP+ on a synthetically generated OSN data set and demonstrate the superiority of 3LP+ over an existing privacy-preserving technique.
Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Information Systems Security and Privacy
Subtitle of host publicationICISSP 2019
EditorsPaolo Mori, Olivier Camp, Steven Furnell
PublisherScitepress
Pages412-420
Number of pages9
ISBN (Electronic)9789897583599
Publication statusPublished - 23 Feb 2019
Event5th International Conference on Information Systems Security and Privacy: ICISSP 2019 - Vienna House Diplomat Prague, Prague, Czech Republic
Duration: 23 Feb 201925 Feb 2019
http://www.icissp.org/?y=2019 (Conference website)
https://www.scitepress.org/ProceedingsDetails.aspx?ID=2JXfLZNuB94=&t=1 (proceedings)
http://www.icissp.org/CallForPapers.aspx?y=2019 (call for papers)
https://www.springer.com/gp/book/9783030494421 (proceedings)

Publication series

NameICISSP 2019 - Proceedings of the 5th International Conference on Information Systems Security and Privacy

Conference

Conference5th International Conference on Information Systems Security and Privacy
CountryCzech Republic
CityPrague
Period23/02/1925/02/19
OtherThe International Conference on Information Systems Security and Privacy aims at creating a meeting point for researchers and practitioners that address security and privacy challenges that concern information systems, especially in organizations, including not only technological issues but also social issues. The conference welcomes papers of either practical or theoretical nature, presenting research or applications addressing all aspects of security and privacy, that concerns to organizations and individuals, thus creating new research opportunities.
Internet address

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