54 5 archive disk0/00/00/00/54 2009-04-06 19:10:00 2009-04-29 12:14:19 2009-04-06 19:10:00 conference_item show 0 Zheleva Elena University of Maryland, College Park Getoor Lise University of Maryland Security and Privacy To Join or Not to Join: The Illusion of Privacy in Social Networks with Mixed Public and Private User Profiles pub public paper In order to address privacy concerns, many social media websites allow users to hide their personal profiles from the public. In this work, we show how an adversary can exploit an online social network with a mixture of public and private user profiles to predict the private attributes of users. We map this problem to a relational classification problem and we propose practical models that use friendship and group membership information (which is often not hidden) to infer sensitive attributes. The key novel idea is that in addition to friendship links, groups can be carriers of significant information. We show that on several well-known social media sites, we can easily and accurately recover the information of private-profile users. To the best of our knowledge, this is the first work that uses link-based and group-based classification to study privacy implications in social networks with mixed public and private user profiles. 2009-04 531-531 18th International World Wide Web Conference Madrid, Spain April 20th-24th, 2009 conference TRUE 54 4 54 1 application/pdf en public
p531.pdf
published p531.pdf 1078143 http://www2009.eprints.org/54/1/p531.pdf
288 4 54 2 application/pdf en public
ez-www09.pdf
presentation ez-www09.pdf 3867478 http://www2009.eprints.org/54/2/ez-www09.pdf