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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 Abawajy
Social 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 II

Series

Lecture notes in computer science ; 7017

Pagination

165 - 174

Publisher

Springer-Verlag

Location

Melbourne, Victoria

Place of publication

Berlin, Germany

Start date

2011-10-24

End date

2011-10-26

ISSN

0302-9743

ISBN-13

9783642246494

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2011, Springer-Verlag Berlin

Extent

38

Editor/Contributor(s)

Y Xiang, A Cuzzocrea, M Hobbs, W Zhou

Title of proceedings

ICA3PP 2011 : Proceedings of the 11th Algorithms and Architectures for Parallel Processing International Conference

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