Mobile Agent-based Cross-Layer Anomaly Detection in Smart Home Sensor Networks Using Fuzzy Logic
- Submitting institution
-
University of South Wales / Prifysgol De Cymru
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 4067742
- Type
- D - Journal article
- DOI
-
10.1109/TCE.2015.7150594
- Title of journal
- IEEE Transactions on Consumer Electronics
- Article number
- -
- First page
- 197
- Volume
- 61
- Issue
- 2
- ISSN
- 0098-3063
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2015
- 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)
-
C - Cyber Security and Forensics
- Citation count
- 22
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research addresses the problem of mobile agent transmission optimization in resource constrained ‘smart’ environments by reusing the information collected for anomaly detection purposes in order to increase the network longevity. The generalizable theoretical foundations and fuzzy logic-based cross-layer rule-base affords generalisation to other large-scale smart environments; the paper is cited in a prominent 2016 CACM article (doi 10.1145/2858789) on smart cities. The research enabled the first author’s participation as a postdoc in the H2020 SPEAR project work on cyber-attack detection in smart grids.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -