Real Time Vehicular Traffic Simulation for Black Hole Attack in the Greater Detroit Area

Abstract

Vehicular Ad-hoc Networks (VANETs) technology has recently emerged, and gaining significant attention from the research because it is promising technologies related to Intelligent Transportation System (ITSs) and smart cities. Wireless vehicular communication is employed to improve traffic safety and to reduce traffic congestion. Each vehicle in the ad-hoc network achieves as a smart mobile node categorized by high mobility and forming of dynamic networks. As a result of the movement of vehicles in a continuous way, VA-NETs are vulnerable to many security threats so it requisites capable and secure communication. Unfortunately, Ad hoc networks are liable to varied attacks like Block Hole attacks and Grey Hole attacks, Denial of service attacks, etc. Among the most known attacks are the Black Hole attacks while the malicious vehicle is able to intercept the data and drops it without forwarding it to the cars. The main goal of our simulation is to analyze the performance impact of black hole attack in real time vehicular traffic in the Greater Detroit Area using NS-2 and SUMO (Simulation of Urban). The simulation will be with AODV protocol.

Performance Impact Analysis of Security Attacks on Cross-Layer Routing Protocols in Vehicular Ad hoc Networks

“…Moreover, several works have been carried out in this context, for instance, in [5] Jose Grimaldo et al studied the impact of the black hole attack on the performance of the AODV, OLSR, DSR, and DSDV protocols in terms of Packet Delivery Ratio (PDR), Network load overhead and End to End Delay (EED) using a Panama City realistic urban scenario. In [7], Abdulaziz Alshammari et al presented a performance study of the AODV protocol in the presence of malicious nodes using a real time vehicular traffic simulation in the Greater Detroit area. The results showed a remarkable decrease in the performance in terms of throughput, PDR and EED.…”