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An automated multi-scale and multi-contextual MobileNetv3 for malware detection based on IoT

Malware detection is a crucial aspect of cybersecurity, aimed at identifying and mitigating malicious software that poses threats to systems and networks. Traditional malware detection methods face challenges in terms of both detection accuracy and computational cost, as deep learning models can be...

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Principais autores: Sidra Javed, Guowei Wu, Hamza Javed, Osama A. Khashan, Haseeb Hassan, Anwar Ghani
Formato: Artigo
Idioma:Inglês
Publicado: Elsevier 2026-03-01
Series:Array
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Acceso en liña:http://www.sciencedirect.com/science/article/pii/S2590005626000044
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