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EDBT
2010
ACM

k-symmetry model for identity anonymization in social networks

11 years 3 months ago
k-symmetry model for identity anonymization in social networks
With more and more social network data being released, protecting the sensitive information within social networks from leakage has become an important concern of publishers. Adversaries with some background structural knowledge about a target individual can easily re-identify him from the network, even if the identifiers have been replaced by randomized integers(i.e., the network is naively-anonymized). Since there exists numerous topological information that can be used to attack a victim’s privacy, to resist such structural re-identification becomes a great challenge. Previous works only investigated a minority of such structural attacks, without considering protecting against re-identification under any potential structural knowledge about a target. To achieve this objective, in this paper we propose
Wentao Wu, Yanghua Xiao, Wei Wang, Zhenying He, Zh
Added 12 Aug 2010
Updated 12 Aug 2010
Type Conference
Year 2010
Where EDBT
Authors Wentao Wu, Yanghua Xiao, Wei Wang, Zhenying He, Zhihui Wang
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