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2021-12-20
Petrenkov, Denis, Agafonov, Anton.  2021.  Anomaly Detection in Vehicle Platoon with Third-Order Consensus Control. 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT). :0463–0466.
The development of autonomous connected vehicles, in particular, moving as a platoon formation, has received great attention in recent years. The autonomous movement allows to increase the efficiency of the transportation infrastructure usage, reduce the fuel consumption, improve road safety, decrease traffic congestion, and others. To maintain an optimal spacing policy in a platoon formation, it is necessary to exchange information between vehicles. The Vehicular ad hoc Network (VANET) is the key component to establish wireless vehicle-to-vehicle communications. However, vehicular communications can be affected by different security threats. In this paper, we consider the third-order consensus approach as a control strategy for the vehicle platoon. We investigate several types of malicious attacks (spoofing, message falsification) and propose an anomaly detection algorithm that allows us to detect the malicious vehicle and enhance the security of the vehicle platoon. The experimental study of the proposed approach is conducted using Plexe, a vehicular network simulator that permits the realistic simulation of platooning systems.