CAN Bus Information Security Technology for Connected Vehicles based on Artificial Intelligence

With the rapid development of Intelligent Connected Vehicle (ICV) technology, data exchange between vehicles has become increasingly frequent, which greatly improves the demand for information security technology in vehicle systems. In order to achieve this goal, we adopt a variety of AI algorithms, including machine learning and deep learning technology, and develop an intelligent system that can detect and respond to security threats in real time. The specific method includes training AI model to identify potential threats with simulated data. Under the condition of low load, the success rate increased from the initial 60% to 97%, which shows the excellent performance of the AI system in an ideal network environment, indicating that the system can maintain good performance under various network pressures. AI technology has the potential to become the core technology of CV information security, which will help to promote the development of safety standards in the entire automobile industry.