Supervised Machine Learning for Real-Time Intrusion Attack Detection in Connected and Autonomous Vehicles: A Security Paradigm Shift

Recent improvements in self-driving and connected cars promise to enhance traffic safety by reducing risks and accidents. However, security concerns limit their acceptance. These vehicles, interconnected with infrastructure and other cars, are vulnerable to cyberattacks, which could lead to severe c...

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Autores principales:	Ahmad Aloqaily, Emad E. Abdallah, Hiba AbuZaid, Alaa E. Abdallah, Malak Al-hassan
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-01-01
Colección:	Informatics
Materias:	autonomous vehicles vehicle security intrusion detection connected vehicles cyber security machine-learning
Acceso en línea:	https://www.mdpi.com/2227-9709/12/1/4
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