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    ARTICLE

    Push-Based Content Dissemination and Machine Learning-Oriented Illusion Attack Detection in Vehicular Named Data Networking

    Arif Hussain Magsi1, Ghulam Muhammad2,*, Sajida Karim3, Saifullah Memon1, Zulfiqar Ali4

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3131-3150, 2023, DOI:10.32604/cmc.2023.040784

    Abstract Recent advancements in the Vehicular Ad-hoc Network (VANET) have tremendously addressed road-related challenges. Specifically, Named Data Networking (NDN) in VANET has emerged as a vital technology due to its outstanding features. However, the NDN communication framework fails to address two important issues. The current NDN employs a pull-based content retrieval network, which is inefficient in disseminating crucial content in Vehicular Named Data Networking (VNDN). Additionally, VNDN is vulnerable to illusion attackers due to the administrative-less network of autonomous vehicles. Although various solutions have been proposed for detecting vehicles’ behavior, they inadequately addressed the challenges specific to VNDN. To deal with… More >

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