Prying Data out of a Social Network

Preventing adversaries from compiling significant amounts of user data is a major challenge for social network operators. We examine the difficulty of collecting profile and graph information from the popular social networking Website Facebook and report two major findings. First, we describe severa...

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Bibliographic Details
Published in2009 International Conference on Advances in Social Network Analysis and Mining : 20-22 July 2009 pp. 249 - 254
Main Authors Bonneau, J., Anderson, J., Danezis, G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Collaboration
Computer networks
Context modeling
Cultural differences
Data mining
Data privacy
Facebook
Laboratories
privacy
Protection
Social network services
social networks
web crawling
Online AccessGet full text
ISBN9780769536897
0769536891
DOI10.1109/ASONAM.2009.45

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Summary:Preventing adversaries from compiling significant amounts of user data is a major challenge for social network operators. We examine the difficulty of collecting profile and graph information from the popular social networking Website Facebook and report two major findings. First, we describe several novel ways in which data can be extracted by third parties. Second, we demonstrate the efficiency of these methods on crawled data. Our findings highlight how the current protection of personal data is inconsistent with user's expectations of privacy.
ISBN:9780769536897
0769536891
DOI:10.1109/ASONAM.2009.45