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Finger Printing of Engine Control Units by Using Frequency Response for Secure In-Vehicle Communication

机译:利用频率响应进行安全的车载通信的引擎控制单元指纹

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The Controller Area Network (CAN) is a primary protocol for in-vehicle communication between the engine control units. However, there are certain flaws in the architecture of this protocol which induce some inherent security vulnerabilities. This paper proposes a novel idea of authenticating the CAN nodes based on the unique frequency response of each transmitter. Electrical devices leave unique signatures in the transmitted signal, which can be used to fingerprint the source. This uniqueness is imparted because of the non-uniform nature and the imperfection of the material and the design of the device. Researchers have proposed different methods for parametric uniqueness in a physical signal. The method used for fingerprinting in this paper is based on the frequency response of the engine control unit (ECU). The calculated frequency response is then used to train a classifier. Experimental results in the proposed research reveal that from the identical data transmission from different ECUs in the network, it is possible to identify the transmitter (ECU) from the frequency response. This concept can be used to design an efficient Intrusion Detection System for the CAN bus security. It is particularly efficient in detecting the spoofing attacks. The performance and the robustness of the proposed method are also discussed in detail.
机译:控制器局域网(CAN)是用于引擎控制单元之间的车载通信的主要协议。但是,此协议的体系结构中存在某些缺陷,这些缺陷会引起一些固有的安全漏洞。本文提出了一种基于每个发送器的独特频率响应来验证CAN节点的新颖思路。电气设备在传输的信号中留下唯一的签名,可用于对信号源进行指纹识别。由于性质的不均匀以及材料和装置设计的不完善,而赋予这种唯一性。研究人员针对物理信号中的参数唯一性提出了不同的方法。本文中用于指纹识别的方法基于发动机控制单元(ECU)的频率响应。然后,将计算出的频率响应用于训练分类器。提出的研究中的实验结果表明,根据网络中不同ECU的相同数据传输,可以从频率响应中识别发送器(ECU)。此概念可用于设计用于CAN总线安全性的高效入侵检测系统。在检测欺骗攻击方面特别有效。还详细讨论了所提出方法的性能和鲁棒性。

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