智能网联汽车CAN网络安全

Rui Sun, Shaojun Zhang, Zhirao Yin, Saoqian Wu, Yufan Chen
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引用次数: 0

摘要

随着互联网技术的不断发展,互联网汽车的出现,网络技术与汽车进程的联系越来越紧密,汽车网络安全已经成为汽车安全的重要组成部分,不法分子都能够控制汽车的动力系统和机动系统,无论进行什么样的攻击,最终目的都是利用汽车CAN总线网络缺乏安全机制,通过获取车辆的CAN总线访问权限,向CAN总线发送消息,并直接控制车辆来保护CAN总线免受攻击,因此保证汽车电子系统的安全性是汽车电子系统设计中的重要问题之一,本文设计了一种时钟漂移入侵检测方法,该系统在使用不同的分类算法时对系统性能进行了评估。通过引入动态阈值检测算法,降低了虚警率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Networked Vehicle CAN Network Security
With the continuous development of Internet technology, the emergence of Internet cars, network technology and automotive processes are becoming more and more closely linked, automotive network security has become an important part of automotive security, the wrongdoers are able to control the car’s power system and maneuvering system, no matter what kind of attack the ultimate goal is to take advantage of the lack of security mechanisms of the vehicle CAN bus network, by obtaining the vehicle CAN bus access, send messages to the CAN bus, and directly control the vehicle to protect the CAN bus from attacks, so ensuring the security of the automotive electronic system is one of the important issues in the design of the automotive electronic system, this paper designs a clock drift intrusion detection method, this system evaluates the performance of the system when using different classification algorithms, and by introducing a dynamic threshold detection algorithm, the false alarm rate can be reduced.
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