Bifurcation of votes on Online Social Networks based on Sybil and Trusted Users

Social media platform is easily accessible by all users irrespective of their location. Online users can get registered on Social Networks with ease to create accounts and communicate with other users for information sharing. Due to this availability users are creating multiple duplicate accounts that results in sybils on network. Social networks are updated with the help of its users feedback and preferences in recommending online products. The process of collecting 0f feedback or preferences online for the products both sybil’s and real user’s information is collected. Sybil votes makes Product ranked high than they actually deserve. As any of the platforms have not taken any of the initiatives to find difference between sybil and real user feedback, hence to overcome this problem we have proposed an Sybil Community Detection Algorithm (SCD) to differentiate real user and sybil user feedback or vote thus build secure online environment.