DBST-FL: Dynamic Behavioural and Semantic Trust for Robust Federated Learning in Industrial IoT
- DOI
- 10.3390/s26154712
- Published
- 2026-07-24
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26154712,
title = {DBST-FL: Dynamic Behavioural and Semantic Trust for Robust Federated Learning in Industrial IoT},
author = {Ammar Alazab and Abin Kumbalapalliyil Tom and Tony Jan and Md Whaiduzzaman and Thien Nguyen and Ansam Khraisat and Ali Almazrouei},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26154712},
url = {https://doi.org/10.3390/s26154712}
}RIS
TY - JOUR TI - DBST-FL: Dynamic Behavioural and Semantic Trust for Robust Federated Learning in Industrial IoT AU - Ammar Alazab AU - Abin Kumbalapalliyil Tom AU - Tony Jan AU - Md Whaiduzzaman AU - Thien Nguyen AU - Ansam Khraisat AU - Ali Almazrouei PY - 2026 JO - Sensors DO - 10.3390/s26154712 UR - https://doi.org/10.3390/s26154712 ER -
APA
Alazab, A., Tom, A. K., Jan, T., Whaiduzzaman, M., Nguyen, T., Khraisat, A., & Almazrouei, A. (2026). DBST-FL: Dynamic Behavioural and Semantic Trust for Robust Federated Learning in Industrial IoT. Sensors. https://doi.org/10.3390/s26154712
Source records
- crossref · retrieved 2026-09-27T02:25:09.167Z