Spatial–temporal graph neural network with autoencoder pretraining for intrusion detection in healthcare IoT ecosystems

Abstract The integration of Internet of Things (IoT) technologies in healthcare has enabled continuous patient monitoring and intelligent clinical decision-making but has also exposed critical infrastructures to sophisticated cyber threats. Traditional intrusion detection systems, including classica...

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Principais autores:	Md Iftekhar Monzur Tanvir, Nusrat Yasmin Nadia, Habibor Rahman Rabby, Md Habibul Arif, Kamruddin Nur, Debasish Ghose
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2026-03-01
Colecção:	Scientific Reports
Assuntos:	Intrusion detection Graph neural networks Healthcare IoT Cybersecurity Spatial–temporal modeling Autoencoder pretraining
Acesso em linha:	https://doi.org/10.1038/s41598-026-45041-y
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