A hierarchical and privacy-preserving intrusion detection framework for SAGIN-enabled IIot using graph neural networks and deep Q-learning
- DOI
- 10.1016/j.neunet.2026.108876
- Published
- 2026-09
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.108876,
title = {A hierarchical and privacy-preserving intrusion detection framework for SAGIN-enabled IIot using graph neural networks and deep Q-learning},
author = {Mueen Uddin and Sonia Khan and Fuhid Alanazi and Maha M. Althobaiti and Meshari Huwaytim Alanazi and Mohammad N. Alanazi},
year = {2026},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2026.108876},
url = {https://doi.org/10.1016/j.neunet.2026.108876}
}RIS
TY - JOUR TI - A hierarchical and privacy-preserving intrusion detection framework for SAGIN-enabled IIot using graph neural networks and deep Q-learning AU - Mueen Uddin AU - Sonia Khan AU - Fuhid Alanazi AU - Maha M. Althobaiti AU - Meshari Huwaytim Alanazi AU - Mohammad N. Alanazi PY - 2026 JO - Neural Networks DO - 10.1016/j.neunet.2026.108876 UR - https://doi.org/10.1016/j.neunet.2026.108876 ER -
APA
Uddin, M., Khan, S., Alanazi, F., Althobaiti, M. M., Alanazi, M. H., & Alanazi, M. N. (2026). A hierarchical and privacy-preserving intrusion detection framework for SAGIN-enabled IIot using graph neural networks and deep Q-learning. Neural Networks. https://doi.org/10.1016/j.neunet.2026.108876
Source records
- crossref · retrieved 2026-09-25T19:15:22.252Z