Enhancing intrusion detection in IoT networks using machine learning-based feature selection and ensemble models

Enhancing intrusion detection in IoT networks using machine learning-based feature selection and ensemble models

Internet of Things (IoT) technology has evolved significantly, transitioning from personal devices to powering smart cities and global deployments across diverse industries. However, security challenges arise due to diverse devices using various protocols and having limited computational capabilitie...

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Bibliographic Details
Main Authors: Ayoob Almotairi, Samer Atawneh, Osama A. Khashan, Nour M. Khafajah
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Systems Science & Control Engineering
Subjects:
Internet of Things (IoT)
intrusion detection
machine learning (ML)
feature selection
ensemble learning
Online Access:https://www.tandfonline.com/doi/10.1080/21642583.2024.2321381

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https://www.tandfonline.com/doi/10.1080/21642583.2024.2321381

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