Distributed consensus algorithm for events detection in cyber-physical systems
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 850455
- Type
- D - Journal article
- DOI
-
10.1109/JIOT.2019.2906157
- Title of journal
- IEEE Internet of Things
- Article number
- -
- First page
- 2299
- Volume
- 6
- Issue
- 2
- ISSN
- 2327-4662
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
https://doi.org/10.1109/JIOT.2019.2906157
- 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
-
5
- Research group(s)
-
-
- Citation count
- 20
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work proposed a distributed consensus algorithm for large scale networks (e.g. wireless sensor networks, Internet of Things, etc.). The proposed algorithms can enable participants securely exchange values and jointly make decision, specifically can provide accurate anomaly detection in large scale systems. The findings of this work have significant impact for industry IoT (IIoT) systems in the harsh environmental conditions, even when a small number of nodes get failed, the algorithm can still make reliable result. Based on this work, the research team developed a few research projects to fix industrial security issues.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
