ARMET: behavior-based secure and resilient industrial control systems
- Submitting institution
-
University of Greenwich
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 24371
- Type
- D - Journal article
- DOI
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10.1109/JPROC.2017.2725642
- Title of journal
- Proceedings of the IEEE
- Article number
- -
- First page
- 129
- Volume
- 106
- Issue
- 1
- ISSN
- 0018-9219
- Open access status
- Deposit exception
- Month of publication
- August
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is a method that formally assures end-to-end security of real-time industrial control systems against threats. For design-time, it derives an implementation that is free from certain classes of computational and false data injection attacks through stepwise refinement of the declarative specification. For run-time, it generates a security monitor from the specification that protects the application execution. The implementation is formally proven as free of false alarms. This is joint work with MIT CSAIL, extended for run-time security monitoring in e-commerce in H2020 ENSURESEC and extended into a cognitive protection system for IoT by University of Michigan and MIT.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -