Scientific research project of Hunan Provincial Department of Education [22C0229]; Graduate Research Innovation Project of Changsha University of Science and Technology [CLKYCX24063]
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摘要:
The popularity of Connected Autonomous Vehicles (CAVs) has led to improvements in the efficiency of the transportation system. Controller Area Network (CAN) is the standard communication protocol used in CAVs. However, the absence of effective security measures within CAN has resulted in vulnerabilities that can be exploited by attackers. To address this issue, we propose an Intrusion Detection System (IDS) using Time series Imaging and Deep Learning called TIDL-IDS. First, the CAN ID in the CAN frame is encoded as the Markov Transition Field (MTF) images to take into account the temporal char...