Abstract: With the extensive deployment of intelligent charging piles, the related information security issues are gradually becoming serious. Through the external access interface, an attacker can penetrate to the CAN bus network which connects to the key control unit of charging pile. By sending malicious attack messages, an attacker can interfere with charging pile operating and seriously endanger the safety of charging infrastructure. In order to solve the problem of CAN bus information security of electric vehicle charging pile, a fuzzing test method of CAN bus based on maximum and minimum ant colony algorithm(MMAS)is proposed. This method improves the fuzzing test efficiency of CAN protocol by improving the maximum and minimum ant colony algorithm. It uses a specific mutation strategy to change the corresponding fields of the message packet,sending the fuzzing test message to CAN node of the charging pile through the CAN protocol analyzer. Based on the above testing method, it is found that the attack on charging piles by utilizing the current security vulnerabilities of charging protocol can lead to shutdown, denial of service and other security problems of charging piles.

Key words: CAN bus, charging pile, information security, anomaly detection, fuzzing test, maximum and minimum ant colony algorithm