PRAISE-IoMT: A Privacy-Aware, Adversarially Robust, and Explainable CNN-SNN Framework for Cross-Domain IoT-to-IoMT Intrusion Detection
- DOI
- 10.5281/zenodo.22932293
- Published
- 2026
- Container
- Not recorded
- Publisher
- Zenodo
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.5281/zenodo.22932293,
title = {PRAISE-IoMT: A Privacy-Aware, Adversarially Robust, and Explainable CNN-SNN Framework for Cross-Domain IoT-to-IoMT Intrusion Detection},
author = {Nassar, Mohammad},
year = {2026},
doi = {10.5281/zenodo.22932293},
url = {https://doi.org/10.5281/zenodo.22932293}
}RIS
TY - JOUR TI - PRAISE-IoMT: A Privacy-Aware, Adversarially Robust, and Explainable CNN-SNN Framework for Cross-Domain IoT-to-IoMT Intrusion Detection AU - Nassar, Mohammad PY - 2026 DO - 10.5281/zenodo.22932293 UR - https://doi.org/10.5281/zenodo.22932293 ER -
APA
Mohammad, N. (2026). PRAISE-IoMT: A Privacy-Aware, Adversarially Robust, and Explainable CNN-SNN Framework for Cross-Domain IoT-to-IoMT Intrusion Detection. https://doi.org/10.5281/zenodo.22932293