Downloads: 120 | Views: 207
M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 5 Issue 6, June 2016 | Rating: 6.1 / 10
Vote Credence: Social Network Sybil Defence by User Behaviour
Anagha P B | Janitha Krishnan
Abstract: Online Social Network (OSN) typically consists of different type of users and it allows efficient communication between persons. Due to open nature of OSN, its always vulnerable to different type of attacks. Attackers can create fake identities in OSN to degrade the reputation of the system. Such fake identities are called Sybils. Vote Credence is a Sybil detecting and blocking mechanism. Vote Credence uses both the concept of friend invitation graph and user behaviour analyser logic to defend against Sybil. It is a voting based Sybil defending system. It efficiently identifies the Sybils that propagate malicious messages by a message filtering system included in the user behaviour analyser. This system helps us to block the entire profile of Sybil
Keywords: Online Social Network, Sybil, Sybil Attack, Sybil Detection, Message filtering
Edition: Volume 5 Issue 6, June 2016,
Pages: 1500 - 1503