Preserving Privacy on the Searchable Internet
The Web is the largest repository of information. Personal information is usually scattered on various pages of different websites. Search engines have made it easier to find personal information. An attacker may collect a user's scattered information together via search engines, and infer some privacy information. The authors call this kind of privacy attack Privacy Inference Attack via Search Engines. In this paper, they propose a user-side automatic detection service for detecting the privacy leakage before publishing personal information. In the user-side service, they construct a User Information CorrelAtion (UICA) graph to model the association between user information returned by search engines.