车载CAN网络入侵检测系统评估框架

G. Dupont, J. D. Hartog, S. Etalle, A. Lekidis
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引用次数: 8

摘要

现代车辆是复杂的安全关键网络物理系统,与外部世界相连,具有其带来的所有安全隐患。针对车载网络的主要类型CAN总线,为提高安全性而提出的不同网络入侵检测系统(nids)由于采用不同的评估方法而难以进行比较。在本文中,我们提供了在平等基础上比较CAN nids的方法,并对文献中详细介绍的nids进行了评估。基于此,我们观察到现有方法的一些局限性,以及为什么在CAN设置中本质上难以区分良性和恶意负载。我们认为“意义感知”检测(我们定义的一个概念)在这种情况下具有挑战性(但也许不是不可能)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation Framework for Network Intrusion Detection Systems for In-Vehicle CAN
Modern vehicles are complex safety critical cyber physical systems, that are connected to the outside world, with all security implications it brings. Different network intrusion detection systems (NIDSs) proposed for the CAN bus, the predominant type of in-vehicle network, to improve security are hard to compare due to disparate evaluation methods adopted. In this paper we provide the means to compare CAN NIDSs on equal footing and evaluate the ones detailed in the literature. Based on this we observe some limitation of existing approaches and why in the CAN setting it is intrinsically difficult to distinguish benign from malicious payload. We argue that “meaning-aware” detection (a concept we define) which is challenging (but perhaps not impossible) to create for this setting.
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