Connected Autonomous Vehicular (CAV) platoon refers to a group of vehicles that coordinate their movements and operate as a single unit. The vehicle at the head acts as the leader of the platoon and determines the course of the vehicles following it. The follower vehicles utilize Vehicle-to-Vehicle (V2V) communication and automated driving support systems to automatically maintain a small fixed distance between each other. Reliance on V2V communication exposes platoons to several possible malicious attacks which can compromise the safety, stability, and efficiency of the vehicles. We present a novel distributed resiliency architecture, Replace for CAV platoon vehicles to defend against adversaries corrupting V2V communication reporting preceding vehicle position. Replace is unique in that it can provide real-time defense against a spectrum of communication attacks. Replace provides systematic augmentation of a platoon controller architecture with real-time detection and mitigation functionality using machine learning. Unlike computationally intensive cryptographic solutions Replace accounts for the limited computation capabilities provided by automotive platforms as well as the real-time requirements of the application. Furthermore, unlike control-theoretic approaches, the same framework works against the broad spectrum of attacks. We also develop a systematic approach for evaluation of resiliency of CAV applications against V2V attacks. We perform extensive experimental evaluation to demonstrate the efficacy of Replace.


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    Titel :

    Replace: Real-time Security Assurance in Vehicular Platoons Against V2V Attacks


    Beteiligte:
    Boddupalli, Srivalli (Autor:in) / Hegde, Ashwini (Autor:in) / Ray, Sandip (Autor:in)


    Erscheinungsdatum :

    19.09.2021


    Format / Umfang :

    1470178 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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