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

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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Bibliographic Details
Main Authors: Shilan S. Hameed, Ali Selamat, Liza Abdul Latiff, Shukor A. Razak, Ondrej Krejcar, Hamido Fujita, Mohammad Nazir Ahmad Sharif, Sigeru Omatu
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
IoMT
IoT
hybrid attack detection
incremental learning
machine learning
sensor’s data
Online Access:https://www.mdpi.com/1424-8220/21/24/8289

Internet

https://www.mdpi.com/1424-8220/21/24/8289

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