Title

Unsupervised Time Series Extraction from Controller Area Network Payloads

Document Type

Conference Proceeding

Publication Date

Fall 2018

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.

Comments

Copyright statement: ©2018 IEEE

The "Link to Full Text" on this page loads the arXiv e-print of the conference paper, hosted at the arXiv repository. arXiv:1904.03078 [cs.CR]

The version of record for the conference paper is cited below, and accessible through a subscription to IEEE.

DOI

10.1109/VTCFall.2018.8690615

Source Publication

2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)

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