Preserving relation privacy in online social network data

Na Li, Nan Zhang, Sajal K. Das

Research output: Contribution to journalArticlepeer-review

35 Scopus citations


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.

Original languageEnglish (US)
Article number5696717
Pages (from-to)35-42
Number of pages8
JournalIEEE Internet Computing
Issue number3
StatePublished - May 2011

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications


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