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PVLDB
2010

Personalized Privacy Protection in Social Networks

8 years 10 months ago
Personalized Privacy Protection in Social Networks
Due to the popularity of social networks, many proposals have been proposed to protect the privacy of the networks. All these works assume that the attacks use the same background knowledge. However, in practice, different users have different privacy protect requirements. Thus, assuming the attacks with the same background knowledge does not meet the personalized privacy requirements, meanwhile, it looses the chance to achieve better utility by taking advantage of differences of users’ privacy requirements. In this paper, we introduce a framework which provides privacy preserving services based on the user’s personal privacy requests. Specifically, we define three levels of protection requirements based on the gradually increasing attacker’s background knowledge and combine the label generalization protection and the structure protection techniques (i.e. adding noise edge or nodes) together to satisfy different users’ protection requirements. We verify the effectiveness of ...
Mingxuan Yuan, Lei Chen 0002, Philip S. Yu
Added 30 Jan 2011
Updated 30 Jan 2011
Type Journal
Year 2010
Where PVLDB
Authors Mingxuan Yuan, Lei Chen 0002, Philip S. Yu
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