Detection Techniques of Clone Attack on Online Social Networks: Survey and Analysis

Online social network presents a wide variety of online uses that exhibit a series of challenges to the security. The security and privacy threats increase, as the amount of personal information posted by users in their profile is made public. Social networking provides interaction and socialization among users which generates large amount of data. This necessitates the adoption of new tools and techniques to provide security of online data. Online social network users are unaware of the numerous security risks that exist in these networks. This paper presents a meticulous survey on the classification of different attacks and defence mechanisms which threaten the well-being of online social network. In addition, the paper presents a classification and analysis of detection mechanisms of clone attacks on online social network, based on attribute similarity, friend network similarity, profile analysis for a time interval and record of Internet Protocol sequences.