Vehicular Resilient Control Strategy for a Platoon of Self-Driving Vehicles under DoS Attack
<|reference_start|>Vehicular Resilient Control Strategy for a Platoon of Self-Driving Vehicles under DoS Attack: In a platoon, multiple autonomous vehicles engage in data exchange to navigate toward their intended destination. Within this network, a designated leader shares its status information with followers based on a predefined communication graph. However, these vehicles are susceptible to disturbances, leading to deviations from their intended routes. Denial-of-service (DoS) attacks, a significant type of cyber threat, can impact the motion of the leader. This paper addresses the destabilizing effects of DoS attacks on platoons and introduces a novel vehicular resilient control strategy to restore stability. Upon detecting and measuring a DoS attack, modeled with a time-varying delay, the proposed method initiates a process to retrieve the attacked leader. Through a newly designed switching system, the attacked leader transitions to a follower role, and a new leader is identified within a restructured platoon configuration, enabling the platoon to maintain consensus. Specifically, in the event of losing the original leader due to a DoS attack, the remaining vehicles do experience destabilization. They adapt their motions as a cohesive network through a distributed resilient controller. The effectiveness of the proposed approach is validated through an illustrative case study, showing its applicability in real-world scenarios.<|reference_end|>
@article{mokari2024vehicular,
    title={Vehicular Resilient Control Strategy for a Platoon of Self-Driving
  Vehicles under DoS Attack},
    author={Hassan Mokari, Yufei Tang},
    journal={arXiv preprint arXiv:2409.03936},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.03936},
    primaryClass={eess.SY cs.SY}
}