Open DRM and the Future of Media
IEEE MultiMedia
On the leakage of personally identifiable information via online social networks
Proceedings of the 2nd ACM workshop on Online social networks
Structural and Message Based Private Friend Recommendation
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
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The number of users of social networks (SN) has increased dramatically during the last years. In turn, the number of applications offered by SNs, as well as their usage by SN users, has also increased significantly. These applications are developed by third parties and access users' data to operate. This fact poses serious privacy risks, since SNs do not provide mechanisms to specify users' privacy preferences for the usage done by third party applications over their personal data. This paper proposes a solution based on the usage of access control languages to keep track of the usage done by SN applications of users' personal data.