Profile Cloning Detection in Online Social Networks

Abstract

Due to the emergence of online social networks, the importance of privacy on the Internet has vitally increased. Thus, it is important to develop mechanisms that will prevent our hidden personal data from unauthorized access and use. In this paper an attempt was made to present a concept of profile cloning detection in Online Social Networks (OSN) using Graph and Network Theory. Compering values of attributes of users’ personal profiles and analysing structural similarity of networks, we identify attackers which steal users’ identity.