Secure edge-based IoMT framework for ICU monitoring with TinyML and post-quantum cryptography

Abstract This article proposes a secure, real-time, intelligent, edge-based Internet of Medical Things (IoMT) monitoring framework for intensive care unit (ICU) environments. The system integrates TinyML-powered decision trees with lattice-based post-quantum cryptography (PQC), specifically Kyber 51...

書誌詳細
出版年:	Scientific Reports
主要な著者:	Umar Hayat Khan, Affaq Qamar, Rahim Khan, Fahad Alturise, Abdul Rahman Alshaabani, Salem Alkhalaf
フォーマット:	論文
言語:	英語
出版事項:	Nature Portfolio 2025-10-01
主題:	TinyML IoMT Edge computing Decision Tree Data fusion Post-quantum cryptography
オンライン･アクセス:	https://doi.org/10.1038/s41598-025-20017-6

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