PT Journal
AU Mohammed, I
TI Internet of Vehicles Security Improvement Based Controller Area Network and Artificial Intelligence
SO Communications - Scientific Letters of the University of Zilina
PY 2025
BP C14
EP C23
VL 27
IS 2
DI 10.26552/com.C.2025.017
WP https://komunikacie.uniza.sk/artkey/csl-202502-0002.php
DE autonomous vehicle; Internet of Vehicles (IoV); Controller Area Network (CAN); cyber security; deep learning; vehicular communication systems
SN 13354205
AB 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.
ER