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Detecting and suspending fake accounts (Sybils) in online social networking(OSN) services protects both OSN operators and OSN users from illegalexploitation. Existing social-graph-based defense schemes effectively bound theaccepted Sybils to the total number of social connections between Sybils andnon-Sybil users. However, Sybils may still evade the defenses by solicitingmany social connections to real users. We propose SybilFence, a system thatimproves over social-graph-based Sybil defenses to further thwart Sybils.SybilFence is based on the observation that even well-maintained fake accountsinevitably receive a significant number of user negative feedback, such as therejections to their friend requests. Our key idea is to discount the socialedges on users that have received negative feedback, thereby limiting theimpact of Sybils' social edges. The preliminary simulation results show thatour proposal is more resilient to attacks where fake accounts continuouslysolicit social connections over time.

SybilFence: Improving Social-Graph-Based Sybil Defenses with User Negative Feedback