Spatial-temporal graph neural network with autoencoder pretraining for intrusion detection in healthcare IoT ecosystems.
- DOI
- 10.1038/s41598-026-45041-y
- Published
- 2026 Mar 25
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-45041-y,
title = {Spatial-temporal graph neural network with autoencoder pretraining for intrusion detection in healthcare IoT ecosystems.},
author = {Tanvir MIM and Nadia NY and Rabby HR and Arif MH and Nur K and Ghose D},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-45041-y},
url = {https://doi.org/10.1038/s41598-026-45041-y}
}RIS
TY - JOUR TI - Spatial-temporal graph neural network with autoencoder pretraining for intrusion detection in healthcare IoT ecosystems. AU - Tanvir MIM AU - Nadia NY AU - Rabby HR AU - Arif MH AU - Nur K AU - Ghose D PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-45041-y UR - https://doi.org/10.1038/s41598-026-45041-y ER -
APA
MIM, T., NY, N., HR, R., MH, A., K, N., & D, G. (2026). Spatial-temporal graph neural network with autoencoder pretraining for intrusion detection in healthcare IoT ecosystems.. Scientific reports. https://doi.org/10.1038/s41598-026-45041-y
Source records
- pubmed · retrieved 2026-09-26T07:12:52.212Z