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This paper introduces a method for unsupervised tokenization of ControllerArea Network (CAN) data payloads using bit level transition analysis and agreedy grouping strategy. The primary goal of this proposal is to extractindividual time series which have been concatenated together beforetransmission onto a vehicle's CAN bus. This process is necessary because thedocumentation for how to properly extract data from a network may not always beavailable; passenger vehicle CAN configurations are protected as trade secrets.At least one major manufacturer has also been found to deliberatelymisconfigure their documented extraction methods. Thus, this proposal serves asa critical enabler for robust third-party security auditing and intrusiondetection systems which do not rely on manufacturers sharing confidentialinformation.

Unsupervised Time Series Extraction from Controller Area Network Payloads