Advances in IoT networks using privacy-preserving techniques with optimized multi-head self-attention model for intelligent threat detection based on plant rhizome growth optimization.
- DOI
- 10.1038/s41598-025-16052-y
- Published
- 2025-10-01
- Container
- Sci Rep
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-16052-y,
title = {Advances in IoT networks using privacy-preserving techniques with optimized multi-head self-attention model for intelligent threat detection based on plant rhizome growth optimization.},
author = {Alkhonaini MA and Ghorashi SA and Alshammri GH and Alshahrani S and Ebad SA and Albouq SS and Alzahrani F and Alshammeri M.},
year = {2025},
journal = {Sci Rep},
doi = {10.1038/s41598-025-16052-y},
url = {https://doi.org/10.1038/s41598-025-16052-y}
}RIS
TY - JOUR TI - Advances in IoT networks using privacy-preserving techniques with optimized multi-head self-attention model for intelligent threat detection based on plant rhizome growth optimization. AU - Alkhonaini MA AU - Ghorashi SA AU - Alshammri GH AU - Alshahrani S AU - Ebad SA AU - Albouq SS AU - Alzahrani F AU - Alshammeri M. PY - 2025 JO - Sci Rep DO - 10.1038/s41598-025-16052-y UR - https://doi.org/10.1038/s41598-025-16052-y ER -
APA
MA, A., SA, G., GH, A., S, A., SA, E., SS, A., F, A., & M., A. (2025). Advances in IoT networks using privacy-preserving techniques with optimized multi-head self-attention model for intelligent threat detection based on plant rhizome growth optimization.. Sci Rep. https://doi.org/10.1038/s41598-025-16052-y
Source records
- europe-pmc · retrieved 2026-09-26T20:23:30.996Z
- doaj · retrieved 2026-09-26T20:23:30.991Z