A comprehensive approach, and a case study, for conducting attack detection experiments in Cyber–Physical Systems
- Submitting institution
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Coventry University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 30659811
- Type
- D - Journal article
- DOI
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10.1016/j.robot.2017.09.018
- Title of journal
- Robotics and Autonomous Systems
- Article number
- -
- First page
- 174
- Volume
- 98
- Issue
- -
- ISSN
- 0921-8890
- Open access status
- Deposit exception
- Month of publication
- October
- Year of publication
- 2017
- URL
-
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper contributes to advancing the state of the art in the area of cyber-physical system cybersecurity experimentation by (1) proposing guidelines for conducting and reporting case studies, (2) developing seven attack detection methods, and (3) designing inexpensive but adequate test-beds, such as the Amigobot robot test-bed. The usefulness of the proposed guidelines, methods, and test-bed has been demonstrated in the case study described in this paper. Guidelines and methods are currently being used by researchers. Furthermore, the Intelligent Checker method, developed by us and evaluated in this case study, has been published as a US patent 20190253440 in 2019.
- Author contribution statement
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- Non-English
- No
- English abstract
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