Higher levels of automation and connectivity can improve the performance of existing Advanced Driver Assistance Systems (ADAS) / Automated Driving Systems (ADS) or enable new Connected, Cooperative, and Automated Mobility (CCAM) applications. But this will also introduce new cybersecurity risks. An example of an ADAS which is becoming mandatory in all vehicles sold in Europe is the Intelligent Speed Assistance (ISA). This system will receive information from traffic signs, High-Definition (HD) maps and Infrastructure-to-Vehicle (I2V) communication in order to set the recommended/mandatory speed. In this research, we design a Misbehaviour Detection System (MDS) for ISA, in the scope of the NIST cybersecurity cycle, capable of securing the network (for I2V communication) and protecting the integrity of the data used and shared for ISA. During the operation of the system, the MDS assigns a Trust Score (for tracking misbehaviours) and a Validity Score (for tracking reputation) to each of the ISA input signals.


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    Titel :

    Misbehaviour Detection System for Intelligent Speed Assistance (ISA)


    Beteiligte:


    Erscheinungsdatum :

    02.06.2024


    Format / Umfang :

    2988790 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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