A Hybrid Lightweight System for Early Attack Detection in the IoMT Fog

Cyber-attack detection via on-gadget embedded models and cloud systems are widely used for the Internet of Medical Things (IoMT). The former has a limited computation ability, whereas the latter has a long detection time. Fog-based attack detection is alternatively used to overcome these problems. H...

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書誌詳細

出版年:	Sensors
主要な著者:	Shilan S. Hameed, Ali Selamat, Liza Abdul Latiff, Shukor A. Razak, Ondrej Krejcar, Hamido Fujita, Mohammad Nazir Ahmad Sharif, Sigeru Omatu
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2021-12-01
主題:	IoMT IoT hybrid attack detection incremental learning machine learning sensor’s data
オンライン･アクセス:	https://www.mdpi.com/1424-8220/21/24/8289