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Issue No. 03 - May/June (2011 vol. 15)
ISSN: 1089-7801
pp: 35-42
Na Li , University of Texas at Arlington
Nan Zhang , George Washington University
Sajal K. Das , University of Texas at Arlington
<p>Online social networks routinely publish data of interest to third parties, but in so doing often reveal relationships, such as a friendship or contractual association, that an attacker can exploit. This systematic look at existing privacy-preservation techniques highlights the vulnerabilities of users even in networks that completely anonymize identities. Through a taxonomy that categorizes techniques according to the degree of user identity exposure, the authors examine the ways that existing approaches compromise relation privacy and offer more secure alternatives.</p>
Keywords: relation privacy, online social networks, user privacy, utility loss.
Na Li, Nan Zhang, Sajal K. Das, "Preserving Relation Privacy in Online Social Network Data", IEEE Internet Computing, vol. 15, no. , pp. 35-42, May/June 2011, doi:10.1109/MIC.2011.26
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