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arXiv · 1904.03078

Unsupervised Time Series Extraction from Controller Area Network Payloads

Brent J. Stone·Scott Graham·Barry Mullins·Christine Schubert Kabban
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Abstract

This paper introduces a method for unsupervised tokenization of Controller Area Network (CAN) data payloads using bit level transition analysis and a greedy grouping strategy. The primary goal of this proposal is to extract individual time series which have been concatenated together before transmission onto a vehicle's CAN bus. This process is necessary because the documentation for how to properly extract data from a network may not always be available; passenger vehicle CAN configurations are protected as trade secrets. At least one major manufacturer has also been found to deliberately misconfigure their documented extraction methods. Thus, this proposal serves as a critical enabler for robust third-party security auditing and intrusion detection systems which do not rely on manufacturers sharing confidential information.

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Brent J. Stone, Scott Graham, Barry Mullins, Christine Schubert Kabban. 2019-04-05. Unsupervised Time Series Extraction from Controller Area Network Payloads. https://arxiv.org/abs/1904.03078

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