Privacy threat analysis of social network data

Authors:
Mohd Izuan Hafez Ninggal;Jemal Abawajy
Affiliations:
School of Information Technology, Deakin University, Victoria, Australia;School of Information Technology, Deakin University, Victoria, Australia
Venue:
ICA3PP'11 Proceedings of the 11th international conference on Algorithms and architectures for parallel processing - Volume Part II
Year:
2011

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Abstract

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.