Privacy Control In Social Networks By Trust Aware Link Prediction

Social networks are exceedingly common in today's society. A social network site is an online platform where people build social relations with others and share information. For the last two decades, rapid growth in the number of users and applications with these social networking sites, make the security as the most challenging issue. In this virtual environment, some greedy people intentionally perform illegal activities by accessing others” private information. This paper proposes a novel approach to detect the illegal access of a particular”s information by using trust-aware link prediction. The facebook dataset is used for experiments and the results justify the robustness and trustworthiness of the proposed model.