Data-Driven Extraction of Vehicle States from CAN Bus Traffic for Cyberprotection and Safety

Michael Roy Moore; Robert A. Bridges; Frank L. Combs; Adam L. Anderson

doi:10.1109/MCE.2019.2928577

Data-Driven Extraction of Vehicle States from CAN Bus Traffic for Cyberprotection and Safety

Michael Roy Moore, Robert A. Bridges, Frank L. Combs, Adam L. Anderson

Data and Software Engineering

Research output: Contribution to specialist publication › Article

9 Scopus citations

Original language	English
Pages	104-110
Number of pages	7
Volume	8
No	6
Specialist publication	IEEE Consumer Electronics Magazine
DOIs	https://doi.org/10.1109/MCE.2019.2928577
State	Published - Nov 1 2019

Funding

This paper has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this paper, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http:// energy.gov/downloads/doe-public-access-plan).

Funders	Funder number
US Department of Energy
UT-Battelle	DE-AC05-00OR22725
U.S. Department of Energy

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10.1109/MCE.2019.2928577

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author = "Moore, {Michael Roy} and Bridges, {Robert A.} and Combs, {Frank L.} and Anderson, {Adam L.}",

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Data-Driven Extraction of Vehicle States from CAN Bus Traffic for Cyberprotection and Safety

Funding

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