Track: Data Mining
Wherefore Art Thou R3579X? Anonymized Social Networks, Hidden Patterns, and Structural Steganography
- Lars Backstrom (Cornell University)
- Cynthia Dwork (Microsoft Research)
- Jon Kleinberg (Cornell University)
In a social network, nodes correspond to people or other social entities, and edges correspond to social links between them. In an effort to preserve privacy, the practice of anonymization replaces names with meaningless unique identifiers. We describe a family of schemes such that even from a single anonymized copy of a social network, it is possible for an adversary to learn whether edges exist or not between specific targeted pairs of nodes.