Graph Based Real Sybil Detection in OSNs

IJCSEC Front Page

Abstract:
In current generation, the rapid growth of Online Social Networks (OSNs) have made far reaching effect on everyone’s social life. This increase in popularity, usage and anonymous nature of OSNs exposed the possibility of being attacked. In Sybil attack, a fake user can create massive amount of fake identities towards the target OSNs for unfairly increasing their influence. These Sybils performs the distribution of malwares, spams, bad products reviews and private data collection. Recently, there exist different schemes for detect and prevent the challenging Sybil attacks. This paper review some of those works that leverages the social graph structure and make a comparative study to identify their relevance in detection of Sybil identity in OSNs.

Keywords: Online Social Network, Sybil attack, Sybil detection

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