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Source Identification from In-Vehicle CAN-FD Signaling: What Can We Expect?

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Controller Area Network (CAN) is significantly deployed in various industrial applications (including current in-vehicle network) due to its high performance and reliability. Controller area network with flexible data rate (CAN-FD) is supposed to be the next generation of in-vehicle network to dispose of CAN limitations of data payload size and bandwidth. The paper explores for the first time Electronic Control Unit (ECU) identification on in-vehicle CAN-FD network from bus signaling and the contributions are four-fold. Technically, we discuss the factors that might affect ECU recognition (e.g., CAN-FD controller, CAN-FD transceiver, and voltage regulator) and look into the signal ringing and its intensity where dominant states along with rising edges (from recessive to dominant states) suffice to fingerprint the ECUs. We can thereby design ECU identification scheme on in-vehicle CAN-FD network.For a given network topology (in terms of the stub length and the number of ECUs), we execute CAN-FD and CAN separately and one can expect considerable performance for the two kinds of protocols by using any signal characteristics (rising edges, dominant states, falling edges, and recessive states). In particular, the recognition rates by dominant states and rising edges of signals outperform significantly those by any other combinations of signal characteristics.As a respond to the possible transition mechanism from CAN to CAN-FD, we also allow a hybrid topology of CAN and CAN-FD, namely, there exist on the network ECUs sending purely CAN frames, ECUs sending purely CAN-FD frames, and ECUs sending both CAN and CAN-FD frames, and our suggestion on dominant states and rising edges shows robustness to source identification as expected. This shows convincing evidence on the universal applicability of our approach to forthcoming real vehicles set up by CAN-FD network.The proposed approach can be easily extended to intrusion detection against attacks not only initiated by external devices but also internal devices. We hope our results could be used as a step forward and a guidance on securing the commercialization and batch production of in-vehicle CAN-FD network in the near future.

源语言英语
主期刊名Information and Communications Security - 23rd International Conference, ICICS 2021, Proceedings
编辑Debin Gao, Qi Li, Xiaohong Guan, Xiaofeng Liao
出版商Springer Science and Business Media Deutschland GmbH
204-223
页数20
ISBN(印刷版)9783030868895
DOI
出版状态已出版 - 2021
活动23rd International Conference on Information and Communications Security, ICICS 2021 - Chongqing, 中国
期限: 19 11月 202121 11月 2021

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12918 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议23rd International Conference on Information and Communications Security, ICICS 2021
国家/地区中国
Chongqing
时期19/11/2121/11/21

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