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  • Distributed Cyber Attacks Detection and Recovery Mechanism for Vehicle Platooning

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    Mousavinejad247753.pdf (771.1Kb)
    Author(s)
    Mousavinejad, Eman
    Yang, Fuwen
    Han, Qing-Long
    Ge, Xiaohua
    Vlacic, Ljubo
    Griffith University Author(s)
    Mousavinejad, Eman
    Yang, Fuwen
    Vlacic, Ljubo
    Year published
    2019
    Metadata
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    Abstract
    This paper is concerned with the distributed attack detection and recovery in a vehicle platooning control system, wherein inter-vehicle information is propagated via a wireless communication network. An active adversary may launch malicious cyber attacks to compromise both sensor measurements and control command data due to the openness of the wireless communication. First, a distributed attack detection algorithm is developed to identify any of those attacks. The core of the algorithm lies in that each designed filter can provide two ellipsoidal sets: a state prediction set and a state estimation set. Whether a filter can ...
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    This paper is concerned with the distributed attack detection and recovery in a vehicle platooning control system, wherein inter-vehicle information is propagated via a wireless communication network. An active adversary may launch malicious cyber attacks to compromise both sensor measurements and control command data due to the openness of the wireless communication. First, a distributed attack detection algorithm is developed to identify any of those attacks. The core of the algorithm lies in that each designed filter can provide two ellipsoidal sets: a state prediction set and a state estimation set. Whether a filter can detect the occurrence of such an attack is determined by the existence of intersection between these two sets. Second, two recovery mechanisms are put forward, through which the adversarial effects of cyber attacks can be mitigated in a timely manner. The recovery mechanisms depend on reliable modifications of the attacked signals required for the computation of the two ellipsoidal sets. Finally, simulation is provided to validate the effectiveness of the proposed method in both detection and recovery phases.
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    Journal Title
    IEEE Transactions on Intelligent Transportation Systems
    DOI
    https://doi.org/10.1109/tits.2019.2934481
    Copyright Statement
    © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Note
    This publication has been entered into Griffith Research Online as an Advanced Online Version.
    Subject
    Artificial Intelligence and Image Processing
    Civil Engineering
    Transportation and Freight Services
    Publication URI
    http://hdl.handle.net/10072/386787
    Collection
    • Journal articles

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