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ISI
2006
Springer

Inferring Privacy Information from Social Networks

8 years 4 months ago
Inferring Privacy Information from Social Networks
Since privacy information can be inferred via social relations, the privacy confidentiality problem becomes increasingly challenging as online social network services are more popular. Using a Bayesian network approach to model the causal relations among people in social networks, we study the impact of prior probability, influence strength, and society openness to the inference accuracy on a real online social network. Our experimental results reveal that personal attributes can be inferred with high accuracy especially when people are connected with strong relationships. Further, even in a society where most people hide their attributes, it is still possible to infer privacy information.
Jianming He, Wesley W. Chu, Zhenyu Liu
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2006
Where ISI
Authors Jianming He, Wesley W. Chu, Zhenyu Liu
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