A Secure Scheme for Vehicle-to-Vehicle (V2V) Routing Protocol

Abstract

Intelligent Transportation System (ITS) has witnessed some great advancements in the recent years increasing the drivers' safety and comfort. ITS offers for types of wireless communications: vehicle to vehicle (V2V), vehicle to Road-Side Unit (V2R), Vehicle to everything (V2X) and Vehicle to Infrastructure (V2I). The highly dynamic connections and the time sensitivity of ITS make it an eye-catching field for attackers. Moreover, Security dangers and vulnerabilities have increased as V2V communications have evolved. Vehicular communications are exposed to several vulnerabilities such as Denial of Service attacks (DOS), Black hole and fabrication attacks. Fabrication attacks involve a malicious vehicle that alters the packet's information, causing serious network damage such as congestion and high delay. We propose a new secure routing scheme aims at detecting malicious vehicles and eliminating them from the network. Each vehicle is monitored by its neighbors. We identify a malicious vehicle by detecting an asymmetric average between its inputs and outputs routing packets, and a delete message is sent throughout the network to eliminate the malicious car from the routing table. Simulations show that the proposed scheme has improved the performance and efficiency of the Ad-hoc On-demand Distance Vector (AODV) protocol with respect to end-to-end delay, throughput and packet delivery ratio.