本报告围绕智能网联汽车网络安全与数据安全入侵检测,首先,介绍了入侵监测的基本概念,分析了车载总线分类及发展趋势,以IDS为例,对入侵检测的有效性和局限性做了说明;其次,梳理了常用的入侵检测方法,包括车载CAN总线入侵检测和车载以太网入侵检测两类;最后,为了验证入侵检测方法的实用性,在CAN-BUSShield板上实施了入侵检测方法,以评估所提出的方法的有效性和准确性,并对其中用到的条件熵算法的功能和作用及其实现做了详细介绍。
<<This section focuses on the topic of network security and data security intrusion detection of intelligent connected vehicles,first introduces the basic concepts of intrusion monitoring,analyzes the classification and development trend of vehicle buses,and takes IDS as an example to explain the effectiveness and limitations of intrusion detection. Then,the common intrusion detection methods are sorted out,including on-board CAN bus intrusion detection and vehicle Ethernet intrusion detection. Finally,in order to make the intrusion detection method practical,the intrusion detection method is implemented on the CAN-BUS Shield board to evaluate the effectiveness and accuracy of the proposed method,and the function and implementation of the conditional entropy algorithm used in it are introduced in detail.
<<