Study of In-Vehicle CAN Bus Network Security Based on Tamper Attack Detection Method

With the maturity of intelligent and networking technology of automobiles, automobiles enhance driving pleasure by connecting to the Internet, Bluetooth and mobile phones. At the same time, it brings security problems such as security vulnerabilities and attacks from hacker, which can seriously affect the driving safety and public safety. The in-vehicle network system is no longer an independent and a secure network system. Therefore, how to ensure the safety and reliability of the in-vehicle network is one of the most serious problems to be solved in the current intelligent automobile industry. This paper uses statistical analysis method to analyze the change range of CAN bus data. And proposes a CAN bus intrusion detection method to detect tampering attacks. Based on the actual vehicle bus information and the experimental verification of the CANoe simulation platform, an intrusion detection method which can effectively detect the tampering attack of the CAN bus is proposed.