Modern automobiles are controlled via networked controls. The majority of networks were built with minimal regard to security. Researchers expect to see a variety of attacks on the system recently, prompting them to share their data. This chapter discusses the weaknesses of the Controller Area Network (CAN) within the in-automobile communication protocol and several possible attacks that may be used against it. In addition, we present recent security detection schemes that have been offered in the current level of research to counteract the threats. The primary purpose of this study is to showcase an integrated technique known as an intrusion detection system (IDS). It has been a significant instrument in protecting information and networks systems for decades. Therefore, we have presented a detailed literature review examining existing IDS. For the investigation of IDS, we considered the following aspects: approaches used for detection, strategies used for deployment, attack mechanisms, and technical issues and challenges. We classify and compare current IDS approaches based on criteria such as real-time limitations, hardware types, CAN Bus behavior changes, attack mitigation types, and software/hardware used to validate these systems. Similarly, other scholars will be encouraged to pursue IDS research on the CAN bus system as a result of the current study.


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    Titel :

    Intrusion Detection System for Connected Automobiles Security


    Weitere Titelangaben:

    Recent Advancements in Connected Autonomous Vehicle Technologies


    Beteiligte:
    Cao, Yue (Herausgeber:in) / Zhang, Yuanjian (Herausgeber:in) / Gu, Chenghong (Herausgeber:in) / Jamil, Abdul Majid (Autor:in) / Zhou, Jianhua (Autor:in) / Wang, Di (Autor:in) / Hadi, Hassan Jalil (Autor:in) / Cao, Yue (Autor:in)


    Erscheinungsdatum :

    2022-10-29


    Format / Umfang :

    29 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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