Intelligent Transport System (ITS) rely on cooperation between vehicles to create awareness of surroundings by an exchange of messages. The two standardized messages used in ITS communication are Cooperative Awareness Messages (CAM) and Decentralized Environment Notification Messages (DENM). A CAM is periodically transmitted by an ITS station to ensure awareness of the surrounding. DENMs are asynchronous messages triggered by events. In this work, we outline the possibility of a semantic attack on DENM messages. In a semantic attack, the messages generated by an ITS-station is manipulated to alter the meaning (semantic) to induce real damage to the transport system. Such attacks are hard to detect as the message syntax itself is legitimate. A dynamic trust model is proposed based on the messages generated by the ITS stations. Empirical results show that the model can discriminate malicious messages with high accuracy.


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    Titel :

    Detecting Semantic Attacks in Intelligent Transport System


    Beteiligte:
    Sairam, Ashok Singh (Autor:in) / Garg, Arav (Autor:in)


    Erscheinungsdatum :

    01.09.2019


    Format / Umfang :

    3778269 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch