Campus Units

Electrical and Computer Engineering

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

2019

Journal or Book Title

IEEE Design & Test

DOI

10.1109/MDAT.2019.2899062

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.

Comments

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.

Rights

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Copyright Owner

IEEE

Language

en

File Format

application/pdf

Published Version

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