For the network communication layer of the vehicle platoon systems, VANETs based on the new generation of network communication C-V2X technology can form the mobile networks with high-speed mobile vehicles and road infrastructure as nodes. Thus, the V2V and V2I communication interaction and perception are achieved. However, the credibility, availability and integrity of the interactive data in the vehicle platoon systems at high speed are vulnerable to cyber attacks due to the openness and vulnerability of vehicle wireless communication network and the complexity of traffic environment. The malicious cyber attack is one of the main reasons that cause the communication faults of the network cyber physical systems (which mentioned in Chap. 1). Malicious attackers can pretend to be mobile vehicles or roadside communication facilities, and simultaneously launch cyber attacks on the V2V communication interaction and the communication channel of control layer of the vehicle platoon system in their range. The multiple communication faults induced by the compound cyber attacks can achieve the control performance loss of the platoon system, or even crash, and induce traffic collisions. In addition, in the most of malicious cyber attacks, deception attacks directly tamper with the system communication interaction data by monitoring the system communication transmission and using the obtained system information to destroy its integrity and credibility. Thus, the deception attacks can cause the communication faults and have stronger destructive power to the platoon control system. Therefore, how to design a distributed adaptive resilient control strategy to enhance the robustness and fast stability of the vehicle platoon systems is of great significance and great challenge for the multiple communication faults caused by malicious compound deception attacks.


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    Titel :

    Distributed Prescribed Performance Resilient Control for Heterogeneous Intelligent Connected Vehicle Platoon Systems with Compound Cyber Attacks


    Beteiligte:
    Pan, Chengwei (Autor:in) / Chen, Yong (Autor:in)


    Erscheinungsdatum :

    13.12.2024


    Format / Umfang :

    32 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch