Hybrid Cross-Temporal Contrastive Model with Spiking Energy-Efficient Network Intrusion Detection in IOMT

Abstract The Internet of Medical Things (IoMT), a key application of the Internet of Things (IoT), has played a key role, especially during the COVID-19 pandemic. Real-time patient monitoring and remote diagnostics help improve medical services, but this increases the mammoth size of network traffic...

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Autores principales:	Fatma S. Alrayes, Mohammed Zakariah, Syed Umar Amin, Zafar Iqbal Khan, Maha Helal
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Springer 2025-10-01
Colección:	International Journal of Computational Intelligence Systems
Materias:	Hybrid Cross-Temporal Contrastive Model Spiking Neural Networks Energy-efficient network intrusion detection Internet of Medical Things (IoMT) Cybersecurity Machine Learning
Acceso en línea:	https://doi.org/10.1007/s44196-025-00995-1
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