保护ecu和车辆内部网络

Priyanka Sharma, D. Möller
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引用次数: 9

摘要

汽车行业正处于数字化转型的边缘。制造完全联网和自动驾驶汽车的竞赛已经开始,它将重新定义我们使用交通系统的方式。联网汽车的目标是提供个性化和安全的驾驶,但联网也为网络攻击打开了大门。控制区域网络(CAN)总线是一种串行汽车总线网络,用于连接系统或子系统中的电子控制单元(ecu),传感器和执行器,用于控制应用。数千个信号被记录在can总线上,几乎可以实时提供关于汽车、司机和周围环境的信息。本文提出了一种用于联网汽车的入侵检测和防御系统(idps)的概念方法,并概述了用于异常检测的机器学习算法作为入侵检测的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Protecting ECUs and Vehicles Internal Networks
The Automotive Industry is on the verge of digital transformation. The race building fully connected and autonomous cars has begun and it will redefine the way we have been using transportation systems. The goal of connected cars is to provide personalized and safe driving, but connectivity is opening the doors for cyber-attacks. Control Area Network (CAN)-bus is a serial car bus network that connects Electronic Control Units (ECUs), sensors and actuators in a system or subsystem for control applications. Thousands of signals are recorded on the CAN-Bus which can give almost real-time information about the car, driver and the surroundings. This paper proposes a conceptual approach for intrusion detection and prevention systems (IDPSs) for connected cars and an overview of machine learning algorithms for anomaly detection as part of intrusion detection.
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