Chen Ming, Yan Minrui
China FAW Group Co., Ltd, China.
Swinburne University of Technology, Melbourne, Australia.
ISA Trans. 2023 Oct;141:52-58. doi: 10.1016/j.isatra.2023.04.019. Epub 2023 May 6.
Smart and autonomous vehicles are inseparable parts of the future Intelligent Transportation Systems (ITS). However, ITS components, and especially its vehicles, are prone to cyber threats. Interconnectivity of different parts, ranging from in-vehicle communication of different modules to vehicle and vehicle to infrastructure message exchanges open a window to the cyber attacks launched through these communication media. This paper introduces the concept of stealth virus or worm in smart and autonomous vehicles which can jeopardize the safety of passengers. Stealth attacks are designed to manipulate a system in a way that while the changes are not detectable by human, the system is negatively influenced over the time. A framework for Intrusion Detection System (IDS) is proposed afterward. The proposed IDS structure is scalable and easily deployable on current and future vehicles which are equipped with Controller Area Network (CAN) buses. Through a case study on car cruise control, a new stealth attack is presented. The attack is analytically discussed first. Then, it is shown how the proposed IDS can detect this kind of threats.
智能和自动驾驶车辆是未来智能交通系统（ITS）不可或缺的组成部分。然而，ITS组件，尤其是其车辆，容易受到网络威胁。从不同模块的车内通信到车辆与基础设施之间的消息交换，不同部件之间的互联性为通过这些通信媒介发起的网络攻击打开了一扇窗口。本文介绍了智能和自动驾驶车辆中可能危及乘客安全的隐形病毒或蠕虫的概念。隐形攻击旨在以一种人类无法察觉变化，但随着时间推移系统会受到负面影响的方式操纵系统。随后提出了一种入侵检测系统（IDS）框架。所提出的IDS结构具有可扩展性，并且可以轻松部署在配备控制器局域网（CAN）总线的当前和未来车辆上。通过一个汽车巡航控制的案例研究，提出了一种新的隐形攻击。首先对该攻击进行了分析讨论。然后，展示了所提出的IDS如何能够检测这种威胁。
