2026-09-21T20:53:01Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/16498 2023-07-10 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Nicol, David M. Thomas, Kurt A. 2010-06-22T19:46:42Z 2010-06-22T19:46:42Z 2010-06-22T19:46:42Z As the popularity of social networks expands, the information users expose to the public has potentially dangerous implications for individual privacy. While social networks allow users to restrict access to their personal data, there is currently no mechanism to enforce privacy concerns over content uploaded by other users. As group photos and stories are shared by friends and family, personal privacy goes beyond the discretion of what a user uploads about himself and becomes an issue of what every network participant reveals. In this paper, we examine how the lack of joint privacy controls over content can inadvertently reveal sensitive information about a user including preferences, relationships, conversations, and photos. Specifically, we analyze Facebook to identify scenarios where conflicting privacy settings between friends will reveal information that at least one user intended to keep private. By aggregating the information exposed in this manner, we demonstrate how a user's private attributes can be inferred from simply being listed as a friend or mentioned in a story. To mitigate this threat, we show how Facebook's privacy model can be adapted to enforce multi-party privacy. We present a proof of concept application built into Facebook that automatically ensures mutually acceptable privacy restrictions are enforced on group content. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2010-04-02T19:10:59Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 thomas_kurt.pdf: 1426695 bytes, checksum: 6db61764e57255f2afb277ce11fe89cd (MD5) Made available in DSpace on 2010-06-22T19:46:42Z (GMT). No. of bitstreams: 2 thomas_kurt.pdf: 1426695 bytes, checksum: 6db61764e57255f2afb277ce11fe89cd (MD5) license.txt: 4061 bytes, checksum: a8feb618a4b1ec867099025c0778fa92 (MD5) http://hdl.handle.net/2142/16498 en Copyright 2010 Kurt A. Thomas security privacy social networks inference Multi-party privacy risks in social networks 2010-5 Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. PHD:Electr & Computer Eng-UIUC 10KS1200PHD