Improving IoT security through an explainable hybrid CNN-transformer model and federated learning
- DOI
- 10.1038/s41598-026-54935-w
- Published
- 2026-05-27
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-54935-w,
title = {Improving IoT security through an explainable hybrid CNN-transformer model and federated learning},
author = {Aymen M. Al-Hejri and Riyadh M. Al-Tam and Archana Harsing Sable and Sultan S. Alshamrani and Kaled M. Alshmrany and Abdullah Alshehri},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-54935-w},
url = {https://doi.org/10.1038/s41598-026-54935-w}
}RIS
TY - JOUR TI - Improving IoT security through an explainable hybrid CNN-transformer model and federated learning AU - Aymen M. Al-Hejri AU - Riyadh M. Al-Tam AU - Archana Harsing Sable AU - Sultan S. Alshamrani AU - Kaled M. Alshmrany AU - Abdullah Alshehri PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-54935-w UR - https://doi.org/10.1038/s41598-026-54935-w ER -
APA
Al-Hejri, A. M., Al-Tam, R. M., Sable, A. H., Alshamrani, S. S., Alshmrany, K. M., & Alshehri, A. (2026). Improving IoT security through an explainable hybrid CNN-transformer model and federated learning. Scientific Reports. https://doi.org/10.1038/s41598-026-54935-w
Source records
- crossref · retrieved 2026-09-25T18:38:03.735Z