Prying data out of a social network

Joseph Bonneau, Jonathan Anderson, George Danezis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 users' expectations of privacy.

Original languageEnglish (US)
Title of host publicationProceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009
Pages249-254
Number of pages6
DOIs
StatePublished - 2009
Event2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009 - Athens, Greece
Duration: Jul 20 2009Jul 22 2009

Publication series

NameProceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009

Other

Other2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009
Country/TerritoryGreece
CityAthens
Period7/20/097/22/09

Keywords

  • Privacy
  • Social networks
  • Web crawling

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Software
  • General Social Sciences

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