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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    Title :

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


    Contributors:


    Publication date :

    2021-09-19


    Size :

    1470178 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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