Study on various techniques to detect fake users in Social network

Abstract

Internet activities have various communication ways and Social networking is one of the most
popular way, with millions of users from around the world. And now a days people spent lots of time on social
sites like twitter, Facebook or LinkedIn, and the scenario of using social sites for communication is constantly
increasing at an impressive rate. At the same time, users describe their online profile with their personal
information that completely represent their accurate identity, and using their profile they interact with other
users and perform various activities like content sharing, news reading, posting messages, product reviews and
discussing events etc.
So as the number of users of social networking sites and e-comers sites are impressively increasing and as they
have millions of interaction between them, so it would be difficult to identify genuine users and their respective
post among them. There various techniques used to detect suspicious accounts, like Trust Model for multimedia
social network is useful to detect the suspicious accounts responsible for posting fake multimedia contents.