Enhanced Random Forest Classifier with K-Means Clustering (ERF-KMC) for Detecting and Preventing Distributed-Denial-of-Service and Man-in-the-Middle Attacks in Internet-of-Medical-Things Networks

Enhanced Random Forest Classifier with K-Means Clustering (ERF-KMC) for Detecting and Preventing Distributed-Denial-of-Service and Man-in-the-Middle Attacks in Internet-of-Medical-Things Networks

In recent years, the combination of wireless body sensor networks (WBSNs) and the Internet ofc Medical Things (IoMT) marked a transformative era in healthcare technology. This combination allowed for the smooth communication between medical devices that enabled the real-time monitoring of patient’s...

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Hlavní autoři: Abdullah Ali Jawad Al-Abadi, Mbarka Belhaj Mohamed, Ahmed Fakhfakh
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2023-12-01
Edice:Computers
Témata:
Internet of Medical Things
DDoS attacks
MITM attacks
machine learning
prevention
simulation
On-line přístup:https://www.mdpi.com/2073-431X/12/12/262

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https://www.mdpi.com/2073-431X/12/12/262

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