Abstract
Due to increasing demand of publishing social network data, privacy has raised more concern for data publisher. There are different risks and attacks still exist that can breach user privacy. Online social network such as Facebook, Google Plus and LinkedIn provide a feature that allows finding out number of mutual friends (NMF) between two users. Adversary can use such information to identify individual user and his/her connections. As published dataset itself reveals mutual friends information for each connection, it becomes very easy for an adversary to re-identify the individual user.
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