54
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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
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Zheleva
Elena
University of Maryland, College Park
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Getoor
Lise
University of Maryland
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