Transparent user identity and overcoming Sybil attack for secure social networks

The secure social networks are online based services that permit unique users to build a public profile, to build the number of users with whom they want to communicate and see the connections within the system. Many social networks are online based and it gives the users to communicate via the internet, such as electronic mailing, quick messaging, sharing photos and videos, uploading the thoughts of the users etc. Such social networks are easily affected by attackers (i.e Sybil attack). The Sybil attack is a kind of security threat and it cause when an insecure system is hijacked to claim various identities. The huge scale peer to peer systems meets security thread from damaged calculating fundamentals. The Robust Recommendation algorithm is used to overcome the Sybil attack that affects the application but it fails when the attacker knows about the profiles of authenticate users. The proposed methodology has to eliminate such constraints by using the combination of session management and face detection and recognition techniques. By using these procedures, the application is secured effectively.