CST-AFNet: A dual attention-based deep learning framework for intrusion detection in IoT networks

The rapid expansion of the Internet of Things (IoT) has revolutionized modern industries by enabling smart automation and real-time connectivity. However, this evolution has also introduced complex cybersecurity challenges due to the heterogeneous, resource-constrained, and distributed nature of the...

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Principais autores:	Waqas Ishtiaq, Ashrafun Zannat, A.H.M. Shahariar Parvez, Md. Alamgir Hossain, Muntasir Hasan Kanchan, Muhammad Masud Tarek
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2025-09-01
Serija:	Array
Teme:	IoT security Industrial IoT (IIoT) Intrusion detection system (IDS) Multi-scale convolutional neural networks Edge-intelligent security Deep learning for network traffic analysis
Online dostop:	http://www.sciencedirect.com/science/article/pii/S2590005625001286
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