Today’s advanced vehicles have high degree of interaction due to numerous sensors, actuators and also with complex communication within the control units. In order to hack a vehicle, it has to be within a certain range of communication. Here, we discuss the On-Board Diagnostic (OBD) regulations for next generation BEV/HEV, its vulnerabilities and cybersecurity threats that come with hacking. We propose three cybersecurity attack detection and defense methods: Cyber-Attack detection algorithm, Time-Based CAN Intrusion Detection Method and, Feistel Cipher Block Method. These control methods autonomously diagnose a cybersecurity problem in a vehicle’s onboard system using an OBD interface, such as OBD-II when a fault caused by a cyberattack is detected, All of this is achieved in an internal communication network structure. The results discussed here focus on the first detection method that is Cyber-Attack detection algorithm.


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    Titel :

    Onboard Cybersecurity Diagnostic System for Connected Vehicles


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Zhu, Di (Autor:in) / Dadam, Sumanth Reddy (Autor:in) / Palukuru, Venkata Sai Srikar (Autor:in) / Ravi, Vinod (Autor:in) / Kumar, Vivek (Autor:in)

    Kongress:

    SAE Powertrains, Fuels & Lubricants Digital Summit ; 2021



    Erscheinungsdatum :

    21.09.2021




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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