Hyperparameter optimization of XGBoost and hybrid CnnSVM for cyber threat detection using modified Harris hawks algorithm

The escalating complexity of cyber threats in smart microgrids necessitates advanced detection frameworks to counter sophisticated attacks. Existing methods often underutilize optimization techniques like Harris hawks optimization (HHO) and struggle with class imbalance in cybersecurity datasets. Th...

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Autores principales:	Haitham Elwahsh, Ali Bakhiet, Tarek Khalifa, Julian Hoxha, Maazen Alsabaan, Mohamed I. Ibrahem, Mahmoud Elwahsh, Engy El-shafeiy
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	PeerJ Inc. 2025-09-01
Colección:	PeerJ Computer Science
Materias:	Cyberattack Harris hawks optimization (HHO) XGBoost CnnSVM Optimize machine learning
Acceso en línea:	https://peerj.com/articles/cs-3169.pdf
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