A survey on security challenges and malicious vehicle detection in vehicular ad hoc networks

Abstract

In Vehicular Ad hoc Networks (VANETs), vehicles periodically broadcast messages for every 100 to 300 milli seconds. Such messages are used to report a safety or non-safety application. Authentication on such safety messages assures the end users in the network. However, a malicious vehicle can trace the messages and can launch varied types of malicious activity which leads to the compromise of personal privacy. Unfortunately, in VANETs many privacy preserving schemes are susceptible to Sybil attacks. This paper presents the security challenges faced by the network and analyzes the malicious Sybil activity. Schemes from existing literature are analyzed and a framework is proposed to overcome this malicious activity.