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2008 International Symposium on Electronic Commerce and Security
Preservation of Privacy in Publishing Social Network Data
August 03-August 05
ISBN: 978-0-7695-3258-5
This paper consider the privacy disclosure in social network data publishing. We assume that adversaries know the degree of a target individual and the target’s immediate neighbors, and identify an essential type of privacy attacks: background knowledge attacks. We propose a practical solution to defend against background knowledge attacks. The experimental results confirm that the anonymized social networks obtained by our method can still be used to answer aggregate network queries with high accuracy.
Index Terms:
Data Publication, Privacy Preservation, Social Network Data, k-Subgraph
Citation:
Qiong Wei, Yansheng Lu, "Preservation of Privacy in Publishing Social Network Data," isecs, pp.421-425, 2008 International Symposium on Electronic Commerce and Security, 2008
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