Detection and Mitigation of Sybil Attack by implementing Extended Genetic Algorithm

Abstract

Today, there are several available technologies designed to build vehicular road travel easier, secure, and more enjoyable, utilizing proximity sensors, geographical positioning system, multimedia communication, etc. Although VANET is a popular application that has strengthens its roots since the last decade and made our lives much easier than ever before. But still there are various security issues in it that need to be considered. One of the major security issues relating VANET is the Sybil attack. The Sybil attack is a major threatening attack in which the attack creates several forge identities of itself in order to gain trust of the authenticated nodes to fulfill its malice presence. In this paper we will implement genetic algorithm for mitigating the Sybil attack. GA is a search technique that depends on the natural selection and genetics principles and which determines an optimal solution for even a hard issue.