• Bharati Bargot
• Prof.Umesh Kulkarni

Social media have gained increased usage quickly as online social network (OSN) has connected to people’s everyday lives as virtual gathering places that facilitates communication. OSNs such as Facebook, Whatsapp, Twitter, Google+ and LinkedIn have hundreds of millions of daily active users. Distributed systems are vulnerable to Sybil attacks in which opponent creates many fake identities called ‘Sybil Identities’ and deals with running of the system or violates the system with fake information. Because of fake identities, it is vulnerable to Sybil attack. The proposed system is a mechanism that influences the network structures to defend against Sybil attacks in social network. The mechanism works based on limited number of random walks on the social graph. The system will be having algorithms such as Sybil identification algorithm and Sybil community detection algorithm and also the combination of both algorithms.

Social network, Sybil attack, Sybil Detection

"SybilDefender: A Defense Against Sybil Attacks in Social Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.238-240, May 2019, Available :http://www.jetir.org/papers/JETIRCS06053.pdf

"SybilDefender: A Defense Against Sybil Attacks in Social Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp238-240, May 2019, Available at : http://www.jetir.org/papers/JETIRCS06053.pdf