A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction

A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction

Abstract Intrusion detection systems are essential for securing wireless sensor networks (WSNs) and Internet of Things (IoT) environments against various threats. This study presents a novel hybrid machine learning (ML) model that integrates KMeans-SMOTE (KMS) for data balancing and principal compon...

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Bibliographic Details
Main Authors: Md. Alamin Talukder, Majdi Khalid, Nasrin Sultana
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Intrusion detection systems
Wireless sensor networks
Internet of Things
Hybrid machine learning
Model
Dimensionality reduction
Online Access:https://doi.org/10.1038/s41598-025-87028-1
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