A Taxonomy of Secure Data Transmission Techniques: Preventing Sybil Attacks in Vehicular Ad Hoc Networks

Abstract

Vehicular Ad Hoc Network (VANET) aims to improve traffic safety by preventing road accidents. However, like any other wireless network, these networks are vulnerable to attacks. Sybil attack is one such severe attack that injects many fake identities into the network to disrupt vehicle communications. This attack has received a lot of attention from the scientific community due to the significant threats it poses. However, not enough works explicitly focus on secure vehicular data packet transmission techniques to detect and prevent this attack. This work aims to fulfil that gap by analyzing proposed secure vehicular data packet transmission solutions in the existing literature to prevent Sybil attacks. Based on the summarized papers, a detailed taxonomy for maintaining the data security of vehicles involved in VANET to prevent Sybil attacks is designed to facilitate future research directions.