BoT-EnsIDS: Approach for detecting IoT Botnet attacks leveraging bio-inspired based ensemble feature selection and hybrid deep learning model

The rapid proliferation of the Internet of Things (IoT) has increased the risk of sophisticated cyber-attacks, particularly botnets, which can lead to privacy breaches, service disruptions, and infrastructure damage. Traditional security solutions, such as firewalls and signature-based (IDS), are of...

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Principais autores:	Tamara Al-Shurbaji, Mohammed Anbar, Selvakumar Manickam, Taief Alaa Al-Amiedy, Ghada AL Mukhaini, Hasan Hashim, Mohammed Farsi, El-Sayed Atlam
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2025-10-01
סדרה:	Alexandria Engineering Journal
נושאים:	Bot-IoT Botnet Deep learning Feature selection Gorilla Troops Optimizer Internet of things
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S1110016825007707
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