Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks

<p dir="ltr">The rapid evolution of modern automobiles into intelligent and interconnected entities presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) for In-Vehicle Networks (IVNs). This survey paper offers an in-depth examination of advanced...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Mohammed Almehdhar (22046597) (author)
مؤلفون آخرون:	Abdullatif Albaseer (16904607) (author), Muhammad Asif Khan (7367468) (author), Mohamed Abdallah (3073191) (author), Hamid Menouar (16904844) (author), Saif Al-Kuwari (16904610) (author), Ala Al-Fuqaha (4434340) (author)
منشور في:	2024
الموضوعات:	Engineering Automotive engineering Information and computing sciences Artificial intelligence Machine learning In-vehicle network (IVN) intrusion detection system (IDS) machine learning (ML) deep learning (DL) cybersecurity controller area network (CAN) Security Sensors Protocols Automobiles Surveys Real-time systems Vehicular ad hoc networks Intrusion detection Deep learning Computer security
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Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks

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