Computationally Efficient Deep Federated Learning with Optimized Feature Selection for IoT Botnet Attack Detection

Internet of Things (IoT) is a technology that has revolutionized various fields, offering numerous benefits, such as remote patient monitoring, enhanced energy efficiency, and automation of routine tasks in homes. However, unsecured IoT devices are susceptible to botnet-based attacks such as distrib...

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Autors principals:	Lambert Kofi Gyan Danquah, Stanley Yaw Appiah, Victoria Adzovi Mantey, Iddrisu Danlard, Emmanuel Kofi Akowuah
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2025-03-01
Col·lecció:	Intelligent Systems with Applications
Matèries:	Federated learning Computational complexity Differential privacy Intrusion detection Internet of Things
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2667305324001364
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