The "Cognitive Intrusion Detection System In Autonomous Vehicles Using Machine Learning" project aims to enhance the security and safety of connected vehicles within the Internet of Vehicles (IoV) ecosystem. Ensuring the integrity and security of vehicle communication networks is crucial in the context of growing automation and connectedness in transportation as it guards against malicious assaults and unauthorized access. The "Cognitive Intrusion Detection System In Autonomous Vehicles Using Machine Learning" significantly enhances the safety and security of autonomous vehicles by swiftly identifying and mitigating potential cyber threats, thereby ensuring the integrity of vehicle operations and fostering trust in future transportation systems. Through real-time monitoring and proactive alerting, this system effectively protects against malicious assaults and unauthorized access, contributing to the advancement of secure and resilient Internet of Vehicles infrastructures.


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    Title :

    Cognitive Intrusion Detection System In Autonomous Vehicles Using Machine Learning


    Contributors:
    Prabha, R Senthil (author) / S, Gokula Krishnan (author) / S, Kaushik (author) / R, Rahul (author) / R, Varun (author)


    Publication date :

    2024-10-08


    Size :

    1478363 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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