Preserving relation privacy in online social network data
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. © 2011 IEEE.
Li, N., Zhang, N., & Das, S. (2011). Preserving relation privacy in online social network data. Retrieved from https://digitalcommons.pvamu.edu/computer-information-facpubs/58