Federated ConvNeXt-swin temporal fusion network for malware and botnet detection in IoT systems

Abstract The rapid expansion of Internet of Things (IoT) infrastructures has significantly increased the exposure of edge devices to malware and botnet attacks. Conventional intrusion detection systems are largely centralized and struggle to operate effectively in decentralized, heterogeneous, and p...

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Autors principals:	Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Nasir Ayub
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-06-01
Col·lecció:	Scientific Reports
Matèries:	Internet of Things security Botnet detection Federated learning ConvNeXt Swin Transformer Intrusion detection
Accés en línia:	https://doi.org/10.1038/s41598-026-55768-3
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