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Privacy threat analysis of social network data
conference contribution
posted on 2011-01-01, 00:00 authored by Mohd Izuan Hafez Ninggal, Jemal AbawajyJemal AbawajySocial network data has been increasingly made publicly available and analyzed in a wide spectrum of application domains. The practice of publishing social network data has brought privacy concerns to the front. Serious concerns on privacy protection in social networks have been raised in recent years. Realization of the promise of social networks data requires addressing these concerns. This paper considers the privacy disclosure in social network data publishing. In this paper, we present a systematic analysis of the various risks to privacy in publishing of social network data. We identify various attacks that can be used to reveal private information from social network data. This information is useful for developing practical countermeasures against the privacy attacks.
History
Event
Algorithms and Architectures for Parallel Processing. Conference (11th : 2011 : Melbourne, Victoria)Source
Algorithms and architectures for parallel processing : 11th International Conference, ICA3PP 2011, Melbourne, Australia, October 24-26, 2011 : proceedings, part IISeries
Lecture notes in computer science ; 7017Pagination
165 - 174Publisher
Springer-VerlagLocation
Melbourne, VictoriaPlace of publication
Berlin, GermanyStart date
2011-10-24End date
2011-10-26ISSN
0302-9743ISBN-13
9783642246494Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2011, Springer-Verlag BerlinExtent
38Editor/Contributor(s)
Y Xiang, A Cuzzocrea, M Hobbs, W ZhouTitle of proceedings
ICA3PP 2011 : Proceedings of the 11th Algorithms and Architectures for Parallel Processing International ConferenceUsage metrics
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