汽车工程 ›› 2023, Vol. 45 ›› Issue (6): 922-935.doi: 10.19562/j.chinasae.qcgc.2023.ep.002

所属专题: 智能网联汽车技术专题-控制2023年

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智能网联汽车车载CAN网络入侵检测方法综述

关宇昕1,冀浩杰2,崔哲1(),李贺1,陈丽文1   

  1. 1.华北理工大学机械工程学院,唐山  063210
    2.北京航空航天大学合肥创新研究院,合肥  230012
  • 收稿日期:2022-09-04 修回日期:2022-09-21 出版日期:2023-06-25 发布日期:2023-03-17
  • 通讯作者: 崔哲 E-mail:cuizhe@ncst.edu.cn
  • 基金资助:
    国家自然科学青年基金(52102447);河北省自然科学基金资助(E2022209086)

An Overview of Intrusion Detection Methods for In-Vehicle CAN Network of Intelligent Networked Vehicles

Yuxin Guan1,Haojie Ji2,Zhe Cui1(),He Li1,Liwen Chen1   

  1. 1.School of Mechanical Engineering,North China University of Science and Technology,Tangshan  063210
    2.Hefei Innovation Research Institute,Beihang University,Hefei  230012
  • Received:2022-09-04 Revised:2022-09-21 Online:2023-06-25 Published:2023-03-17
  • Contact: Zhe Cui E-mail:cuizhe@ncst.edu.cn

摘要:

智能汽车与车联网技术不断融合,汽车正朝着智能化和网联化方向发展。随着车载网络(例如:CAN网络)的复杂性以及车辆与外界相连的方式增加,汽车面临的网络安全风险大幅上升。入侵检测系统作为保护车载网络安全的重要屏障,可以有效检测外部入侵和车辆异常行为。首先,介绍了车载网络的安全属性,并分析了智能网联汽车的网络安全问题以及车载CAN网络的脆弱性和对其的攻击方式。其次,总结了近几年车载CAN网络入侵检测方法的研究现状。最后,对未来车载网络入侵检测系统的发展提出几项开放性问题。

关键词: 智能网联汽车, 网络安全, 车载CAN网络, 异常行为, 入侵检测系统

Abstract:

With the continuous integration of intelligent vehicle and vehicle networking technology, vehicles are developing towards intelligence and networking. As the complexity of in-vehicle network (e.g. CAN network) increases and the way in which vehicles are connected to the outside world increases, the cyber security risks faced by automobiles have risen dramatically. As an important barrier to protect vehicle network security, intrusion detection system can effectively detect external intrusion and abnormal vehicle behavior. Firstly, the security properties of the in-vehicle network are introduced, and the network security issues of the ICV, the vulnerability of the in-vehicle CAN network and the attack modes on it are analyzed. Secondly, the status quo of research on vehicle CAN network intrusion detection methods in recent years is summarized. Finally, several open questions are proposed for the future development of the in-vehicle network intrusion detection system.

Key words: intelligent and connected vehicle, network security, in-vehicle CAN network, abnormal behavior, intrusion detection system