Review on Detection and Mitigation of Sybil Attack in the Network

Abstract

Sybil attack is an attack in which the identities of the node are subverted and the large number of pseudonymous identities is produced to gain the access of the network. In this paper, we studied the detection mechanism of Sybil attack in peer-to-peer reputation systems, self-organizing networks and even social network systems. Also, various methods to mitigate the Sybil attack are analyzed. The studied mechanisms are evaluated in terms of detection rate, false positive rate, false negative rate and non-trustworthy rate. A research component in detection and mitigation of Sybil attack is, how to improve the detection rate and to minimize the false positive and false negative rate.