2021 | OriginalPaper | Buchkapitel
Source Identification from In-Vehicle CAN-FD Signaling: What Can We Expect?
verfasst von : Yucheng Liu, Xiangxue Li
Erschienen in: Information and Communications Security
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Abstract
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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.
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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.
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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.
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The proposed approach can be easily extended to intrusion detection against attacks not only initiated by external devices but also internal devices.