Implications of Various Fake Profile Detection Techniques in Social Networks

Abstract

In the recent years, the fast development and the exponential utilization of social networks has prompted an expansion of social Computing. In social networks users are interconnected by edges or links. Facebook, twitter, linkedin are most popular social networks websites. In this paper focus is made on Facebook for detection of fake profile. Facebook is most used social networking site in which user can share messages, images and videos also users may add number of friends in their personal profiles. But it is difficult to find out whether the new person is genuine or not. May be it could be a malicious user. To detect malicious users or fake profiles different techniques has been proposed. In this paper an attempt has been made to analysis various existing techniques that includes comparison in perspective of various applications mapping various performance parameters.