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Title	Attacks On The Vehicle Ad-Hoc Network From Cyberspace
ID_Doc	11021
Authors	Alwasel A.; Mishra S.; AlShehri M.
Year	2023
Published	International Journal of Advanced Computer Science and Applications, 14, 7
DOI	http://dx.doi.org/10.14569/IJACSA.2023.0140729
Abstract	The emergence of Vehicle Ad hoc Networks (VANET) in 2003 has brought about a significant advancement in mobile phone networks and VANETs enable cars on the road to communicate with each other and the infrastructure on the street through a set of sensors and Intelligent Transport Systems (ITS). However VANETs are a low-level trust environment, making them vulnerable to misbehavior attacks and abnormal use. Thus, it is crucial to ensure that VANET systems and applications are secure and protected from cyber-attacks. This research aims to identify security challenges and vulnerabilities in VANET and proposes an algorithm that checks vehicle identity, location, and speed to detect and classify suspicious behavior. The research involves a study of the structures, architecture, and applications using VANET technology, the interconnection processes between them, and the types of architecture, layers, and applications that can pose a high risk. The research also focuses on the Confidentiality, Integrity and Availability (CIA) information security triangle and develops a program that uses machine learning to classify and analyze risks, attacks. The proposed algorithm provides security and safety for everyone on the road by identifying harmful behaviors of vehicles through knowledge of their location and identity. Overall, this research contributes to the development of a stable and secure Vehicular ad hoc network environment, enabling the integration of VANET security with smart cities. © 2023, Science and Information Organization. All Rights Reserved.
Author Keywords	linear regression; machine learning; Mobile Ad hoc Network (MANET); random forest; Vehicular Ad hoc Network (VANET)

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