Evaluation and analysis of the impact of subsystem based attacks on the network layer of automotive cyber physical systems
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Affiliation:
School of Bigdata and Software Engineering, Chongqing University
Fund Project:
The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)
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摘要:
现代车辆日益自动化,其内部CAN(Controller Area Network)网络虽提供了连接性,但也为网络攻击提供了机会。车辆安全是研究车辆的一个基本问题,而只有对攻击的影响足够了解,才能研究出更加具有针对性的保护措施,才能更好地保护车辆安全。研究针对如何量化评估攻击对汽车信息物理系统网络层影响的问题,提出了一种基于子系统的网络攻击影响评估模型,该模型从可用性和完整性两个维度衡量攻击对子系统总线和节点的影响。攻击实验中采用该模型计算了攻击影响,验证了该模型的有效性,能够对攻击影响进行量化评估。
Abstract:
Modern vehicles are becoming increasingly automated, and while their internal CAN network provides connectivity, it also offers opportunities for cyber attacks. Vehicle safety is a fundamental issue in the study of vehicles, and only with sufficient understanding of the impact of attacks can more targeted protective measures be developed to better protect vehicle safety. A subsystem based network attack impact assessment model is proposed to quantitatively evaluate the impact of attacks on the CPS network layer of automobiles. This model measures the impact of attacks on subsystem buses and nodes from two dimensions: availability and integrity. The model was used in the attack experiment to calculate the impact of the attack, verifying its effectiveness and enabling quantitative evaluation of the impact of the attack.
