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Source: hackintheBox

Social networking sites such as Facebook, LinkedIn, and Xing have been reporting exponential growth rates. These sites have millions of registered users, and they are interesting from a security and privacy point of view because they store large amounts of sensitive personal user data.

This paper  introduce a novel de-anonymization attack that exploits group membership information that is available on social networking sites. More precisely, show’s information about the group memberships of a user (i.e., the groups of a social network to which a user belongs) is often sufficient to uniquely identify this user, or, at least, to significantly reduce the set of possible candidates.

View the Paper

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