Comparative analysis of deep learning and traditional methods for IoT botnet detection using a multi-model framework across diverse datasets

Comparative analysis of deep learning and traditional methods for IoT botnet detection using a multi-model framework across diverse datasets

Abstract The proliferation of Internet of Things (IoT) devices has created unprecedented cybersecurity vulnerabilities, with botnets emerging as a critical threat to network infrastructure. This study focuses on traditional machine learning and deep learning approaches, proposes a novel ensemble fra...

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Bibliographic Details
Main Authors: Saeed Ullah, Junsheng Wu, Zhijun Lin, Mian Muhammad Kamal, Hala Mostafa, Muhammad Sheraz, Teong Chee Chuah
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
IoT
Cyber-attacks
Botnet
Deep learning
Traditional machine learning
SMOTE
Online Access:https://doi.org/10.1038/s41598-025-16553-w
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https://doi.org/10.1038/s41598-025-16553-w

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