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

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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Bibliographic Details
Main Author: Mohammed Almehdhar (22046597) (author)
Other Authors: 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)
Published: 2024
Subjects:
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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