Survey of Automotive Controller Area Network Intrusion Detection Systems

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2019-01-01
Authors
Young, Clinton
Olufowobi, Habeeb
Bloom, Gedare
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Zambreno, Joseph
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Electrical and Computer Engineering

The Department of Electrical and Computer Engineering (ECpE) contains two focuses. The focus on Electrical Engineering teaches students in the fields of control systems, electromagnetics and non-destructive evaluation, microelectronics, electric power & energy systems, and the like. The Computer Engineering focus teaches in the fields of software systems, embedded systems, networking, information security, computer architecture, etc.

History
The Department of Electrical Engineering was formed in 1909 from the division of the Department of Physics and Electrical Engineering. In 1985 its name changed to Department of Electrical Engineering and Computer Engineering. In 1995 it became the Department of Electrical and Computer Engineering.

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1909-present

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  • Department of Electrical Engineering (1909-1985)
  • Department of Electrical Engineering and Computer Engineering (1985-1995)

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Abstract

Novel attacks continue to appear against in-vehicle networks due to the increasing complexity of heterogeneous software and hardware components used in vehicles. These new components introduce challenges when developing efficient and adaptable security mechanisms. Several intrusion detection systems (IDS) have been proposed to identify and protect in-vehicle networks against malicious activities. We describe the state-of-the-art intrusion detection methods for securing automotive networks, with special focus on the Controller Area Network (CAN). We provide a description of vulnerabilities, highlight threat models, identify known attack vectors present in CAN, and discuss the advantages and disadvantages of suggested solutions.

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This is a manuscript of an article published as Young, Clinton, Joseph Zambreno, Habeeb Olufowobi, and Gedare Bloom. "Survey of Automotive Controller Area Network Intrusion Detection Systems." IEEE Design & Test (2019). DOI: 10.1109/MDAT.2019.2899062. Posted with permission.

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Tue Jan 01 00:00:00 UTC 2019
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