Journal of Jilin University (Information Science Edition) ›› 2022, Vol. 40 ›› Issue (5): 805-811.

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Research on Safety Certification Method of Intelligent Connected Vehicle Based on Algorithm SM2

LI Min 1,2 , CHEN Fulong 1 , PANG Hui 3   

  1. 1. School of Computer and Information, Anhui Normal University, Wuhu 241002, China; 2. Institute of Information and Artificial Intelligence, Wuhu Institute of Technology, Wuhu 241006, China; 3. Software Department, Atech Automotive (Wuhu) Company Limited, Wuhu 241006, China
  • Received:2022-03-02 Online:2022-10-10 Published:2022-10-10

Abstract: Since the onboard CAN( Controller Area Network) bus is the source of network attacks, onboard data transmitted in plaintext form is easy to be monitored and tampered, and messages without authentication domain and bus arbitration mechanism are vulnerable to network attacks. In order to solve the problem of automobile information security, an asymmetric encryption algorithm based on SM2 is proposed, using multiple point operation strategy, the paper uses public key encryption, private key decryption, carrying out vehicle node identity authentication and data encryption and decryption, according to the characteristics of vehicle CAN bus, the paper uses message of packet protocol to transmits the ciphertext of the SM2 algorithm. The paper transplants the SM2 algorithm to the embedded device with the domestic GD32F103 as the core, simulates the CAN communication between the TBOX( Telematics-BOX) and PEPS( Passive Entry Passive Start) , an important part of the intelligent connected car, and analyze and verify that the SM2 algorithm is effective and feasible in the embedded device through the Kavaser CANKING and Sealaselogic8 platform analysis. It ensures the legitimacy and confidentiality of node data, and it is suitable for single-time identity authentication occasions for in-vehicle devices. The SM2 algorithm provides a new research path for the research on the security authentication method of intelligent networked vehicles.

Key words: algorithm SM2, intelligent connected vehicle(ICV), safety certification

CLC Number: 

  • TP274