The possibility of using infrastructure-based sensors to identify individual vehicles, and then actuate transportation control infrastructure in response to their individual dynamics will enable to next generation of traffic infrastructure control. However, any such system to identify individual vehicles in the flow will be prone to faulty data or worse, cyberattacks where a malicious actor intentionally injects faulty data. With this context in mind, we investigate the resilience of a recently proposed deep learning based approach to identify individual vehicles in the traffic flow. We conduct numerical experiments where increasing amounts of noise is injected into time series trajectory data and conclude that while the proposed classification method is accurate at identifying individual vehicles when there is no noise, classification accuracy deteriorates quickly when noise is injected.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Robustness of vehicle identification via trajectory dynamics to noisy measurements and malicious attacks


    Contributors:
    Li, Tianyi (author) / Stern, Raphael (author)


    Publication date :

    2022-05-01


    Size :

    1027891 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Identification of Malicious Data Attacks in a Smart Grid Network Using Spectral Clustering

    Jena, Prasanta Kumar / Koley, Ebha / Ghosh, Subhojit | IEEE | 2023


    Robustness of noisy and blurry images segmentation

    Gribkov, I. V. / Koltsov, P. P. / Kotovich, N. V. et al. | British Library Online Contents | 2009


    SYSTEM AND METHOD FOR PREVENTING MALICIOUS CAN BUS ATTACKS

    KAMIR EYAL / FOK ALEXANDER / TUCHMAN YANIV et al. | European Patent Office | 2019

    Free access

    System and method for preventing malicious CAN bus attacks

    KAMIR EYAL / FOK ALEXANDER / TUCHMAN YANIV et al. | European Patent Office | 2021

    Free access

    SYSTEM AND METHOD FOR PREVENTING MALICIOUS CAN BUS ATTACKS

    KAMIR EYAL / FOK ALEXANDER / TUCHMAN YANIV et al. | European Patent Office | 2021

    Free access