PLI-TDC: Super Fine Delay-Time Based Physical-Layer Identification with Time-to-Digital Converter for In-Vehicle Networks
PLI-TDC: Super Fine Delay-Time Based Physical-Layer Identification with Time-to-Digital Converter for In-Vehicle Networks
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DOI：
10.1145/3433210.3437530
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发表时间：
2021-05
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影响因子：
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通讯作者：
Shuji Ohira;Araya Kibrom Desta;Ismail Arai;K. Fujikawa
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文献类型：
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作者：
Shuji Ohira;Araya Kibrom Desta;Ismail Arai;K. Fujikawa
近年来，对汽车网络之一的控制器局域网（CAN）的网络攻击正成为一个严重的问题。CAN是一种用于电子控制单元（ECU）之间通信的协议，它是汽车网络的事实标准。一些安全研究人员指出了CAN中的几个漏洞，例如由于没有身份验证和没有发送者身份识别而无法区分欺骗消息。为了防止恶意消息注入，至少我们应该通过分析实时消息来识别恶意消息。在以前的工作中，已经提出了一种基于延迟时间的方法，称为分频器来识别发送节点。但是，Divider无法识别具有类似变化的ECU，因为Divider的测量时钟具有粗略的时间分辨率。此外，分频器不能适应由环境总线的温度漂移引起的延迟时间漂移。本文提出了一种基于时间-数字转换器（TDC）的超精细延迟时间的发送方识别方法。该方法在CAN总线原型车和实车中的准确率分别为99.67%和97.04%。此外，在温度漂移的环境中，该方法可以达到99%以上的平均精度。
Recently, cyberattacks on Controller Area Network (CAN) which is one of the automotive networks are becoming a severe problem. CAN is a protocol for communicating among Electronic Control Units (ECUs) and it is a de-facto standard of automotive networks. Some security researchers point out several vulnerabilities in CAN such as unable to distinguish spoofing messages due to no authentication and no sender identification. To prevent a malicious message injection, at least we should identify the malicious senders by analyzing live messages. In previous work, a delay-time based method called Divider to identify the sender node has been proposed. However, Divider could not identify ECUs which have similar variations because Divider's measurement clock has coarse time-resolution. In addition, Divider cannot adapt a drift of delay-time caused by the temperature drift at the ambient buses. In this paper, we propose a super fine delay-time based sender identification method with Time-to-Digital Converter (TDC). The proposed method achieves an accuracy rate of 99.67% in the CAN bus prototype and 97.04% in a real-vehicle. Besides, in an environment of drifting temperature, the proposed method can achieve a mean accuracy of over 99%.