A hierarchical and privacy-preserving intrusion detection framework for SAGIN-enabled IIot using graph neural networks and deep Q-learning

Mueen Uddin, Sonia Khan, Fuhid Alanazi, Maha M. Althobaiti, Meshari Huwaytim Alanazi, Mohammad N. Alanazi

Open source

DOI
10.1016/j.neunet.2026.108876
Published
2026-09
Container
Neural Networks
Publisher
Elsevier BV
Open access
unknown

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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

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