University of Texas at El Paso
Millions of people use On-line Social Networks (OSNs) every day and privacy of sensitive personal information is a major concern. Although OSNs provide policies and mechanisms to allow users to control who can view their data, these efforts may not be sufficient under various privacy attacks. In this paper, the authors study the disclosure of private information concealed on a social network under an information extraction attack. The novelty of this attack is that it combines web search with information extraction and data mining techniques to discover private information that is hidden on a social network by considering web pages outside of the given social network.