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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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Autori principali: Mahmoud Khaled Abd-Ellah, Nayera A. Alsayed, Osama M. Elkomy, Walaa M. EL-Hady
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Portfolio 2026-04-01
Serie:Scientific Reports
Soggetti:
Deep learning
Malware detection
IoT security
Network traffic
Convolutional neural networks (CNN)
Feature extraction
Accesso online:https://doi.org/10.1038/s41598-026-47389-7
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