Security has been one of the major concerns from the very start of the vehicular revolution irrespective of the industry. A sudden explosion in the amount of vehicle availability has led to an increase in the number of digital thefts. Similarly malicious behavior of vehicles has become a leading field of specialization in Computer Industry to protect Vehicular network from unwanted behavior of vehicles. To address this specific issue, this paper proposes a system developed to be developed in. Different types of machine learning/Deep learning algorithms are to apply to protect from various types misbehaving vehicles.


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    Titel :

    Detecting Vehicular Networking Node Misbehaviour Using Machine Learning


    Beteiligte:
    Saudagar, Saleha (Autor:in) / Ranawat, Rekha (Autor:in)


    Erscheinungsdatum :

    24.01.2023


    Format / Umfang :

    538894 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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