Communications - Scientific Letters of the University of Zilina 2025, 27(2):C14-C23 | DOI: 10.26552/com.C.2025.017

Internet of Vehicles Security Improvement Based Controller Area Network and Artificial Intelligence

Ibraheem Hatem Mohammed ORCID...
Department of Computer Communications Engineering, Al-Rafidain University College, Baghdad, Iraq

The Internet of Vehicle (IoV) is revolutionizing the automobile sector by allowing vehicles to interact between them and with roadside infrastructure. The Controller Area Network (CAN) is a vital component of such Autonomous vehicles (AVs), allowing communication between various Electronic Control Units (ECUs). However, the CAN protocol's intrinsic lack of security renders it opens to a variety of cyber-attacks, posing substantial hazards to both safety and privacy. This research proposes a defence mechanism for the real-time threat detection. It investigates the use of deep learning with multi-layer perceptron to improve the security of CAN networks inside the IoV framework. The suggested method is highly effective in identifying and mitigating potential risks, as evidenced by extensive testing on real-world CAN datasets.

Keywords: autonomous vehicle, Internet of Vehicles (IoV), Controller Area Network (CAN), cyber security, deep learning, vehicular communication systems
Grants and funding:

The authors received no financial support for the research, authorship and/or publication of this article.

Conflicts of interest:

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Received: August 23, 2024; Accepted: January 13, 2025; Prepublished online: January 29, 2025; Published: April 1, 2025  Show citation

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Mohammed, I.H. (2025). Internet of Vehicles Security Improvement Based Controller Area Network and Artificial Intelligence. Communications - Scientific Letters of the University of Zilina, 27(2), C14-23. doi: 10.26552/com.C.2025.017
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