Abstract Modern urban vehicles adopt sensing, communication and computing modules into almost every functioning aspect to assist humans in driving. However, the advanced technologies are inherently vulnerable to attacks, exposing vehicles to severe security risks. In this work, we focus on the detection of sensor and actuator attacks that are capable of actively altering vehicle behavior and directly causing damages to human beings and vehicles. We develop a collaborative intrusion detection system where each vehicle leverages sensing data from its onboard sensors and neighboring vehicles to detect sensor and actuator attacks without a centralized authority. The detection utilizes the unique feature that clean data and contaminated data are correlated through the physical dynamics of the vehicle. We demonstrate the effectiveness of the detection system in a scaled autonomous vehicle testbed by launching attacks through various attack channels.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    VCIDS: Collaborative Intrusion Detection of Sensor and Actuator Attacks on Connected Vehicles


    Contributors:
    Guo, Pinyao (author) / Kim, Hunmin (author) / Guan, Le (author) / Zhu, Minghui (author) / Liu, Peng (author)


    Publication date :

    2018-01-01


    Size :

    20 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    CVGuard: Mitigating Application Attacks on Connected Vehicles

    Abdo, Ahmed / Wu, Guoyuan / Zhu, Qi et al. | IEEE | 2022



    Toward a Multi-Layer Intrusion Response System for Connected Vehicles

    Lauinger, Jan / Hamad, Mohammad / Steinhorst, Sebastian | IEEE | 2022


    Resilient Control Under Cyber-Attacks in Connected ACC Vehicles

    Jeon, Woongsun / Zemouche, Ali / Rajamani, Rajesh | British Library Conference Proceedings | 2019