A cloud‐based hybrid intrusion detection framework using XGBoost and ADASYN‐Augmented random forest for IoMT

A cloud‐based hybrid intrusion detection framework using XGBoost and ADASYN‐Augmented random forest for IoMT

Abstract Internet of Medical Things have vastly increased the potential for remote patient monitoring, data‐driven care, and networked healthcare delivery. However, the connectedness lays sensitive patient data and fragile medical devices open to security threats that need robust intrusion detection...

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Bibliographic Details
Main Authors: Arash Salehpour, Monire Norouzi, Mohammad Ali Balafar, Karim SamadZamini
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Communications
Subjects:
internet of things
resource allocation
Online Access:https://doi.org/10.1049/cmu2.12833
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https://doi.org/10.1049/cmu2.12833

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