Malware detection in IoT networks with CNNs and integrated feature engineering

Abstract Malware poses a significant threat to Internet of Things (IoT) systems, with evolving stealth techniques challenging traditional detection methods. Effective identification of complex and diverse malware patterns requires advanced analytical approaches. We propose a deep convolutional neura...

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Autores principales:	Mahmoud Khaled Abd-Ellah, Nayera A. Alsayed, Osama M. Elkomy, Walaa M. EL-Hady
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2026-04-01
Colección:	Scientific Reports
Materias:	Deep learning Malware detection IoT security Network traffic Convolutional neural networks (CNN) Feature extraction
Acceso en línea:	https://doi.org/10.1038/s41598-026-47389-7
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