A New System for Fake Profile Recognition in Social Networks

The billions of users all over the world are spending online social network, such as Twitter, Facebook, Tumbler and LinkedIn. The flaws in this socialmedia may indications to abuse user’s information and execute an attack of identity cloning. In this work mainly focuses, a new method for hiding datato hide precise details in profile pictures to learn botnets and fake profiles. In this paper, presents an ordering and investigation of recognitionmechanisms of genetic copy attacks on online network of social, purely established on attribute likeness, friend network likeness, and profileinquiry for a time interval and record of Internet Protocol sequences. This work, proposals an algorithm for transform discrete wavelet for hiding thedata. So, the system can prevent the replica attacks and offer the whole user data privacy protective. Similarly, when users upload the profile image orphotos it would be first watermarked and then updated. Java static watermarking systems and algorithms is been used for watermarkingprocedure. Here tracking any fake users updating the same profile picture given easier and tracking their IP address also became easier. Also, oursystem raises certain features which can be investigated to the users through process of registration. Thus, providing secure authentication. Henceavoiding clone attacks in social media became easier.