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Vulnerability Analysis of Road Network under Information Pollution Attacks in VANET

As an application of the Internet of Things in the automotive field, Vehicular Ad-hoc NETworks (VANETs) are developed to facilitate traffic safety and traffic flow optimization. VANET consists of the communication network and the underlay road network. Due to the characteristics of open access, the communication network is vulnerable to various attacks, especially, the information pollution attack which is highly risky and concealed. Such an attack can lead the vehicles to react to the false messages from attackers, even cause failure cascades. However, the impact of the information pollution attack on the road network has not gained enough attention. To assess such impact, we build a traffic model with polluted information and assess the vulnerability of the road network under different pollution scenarios in terms of attack percentage, attack types, and road network topologies. Experimental results demonstrate that VANETs are vulnerable to the information pollution attack, and transportation performance drops by half when only 15% of edges are attacked in the worst case.