PhishNet 1.0: optuna-optimized stacking ensemble with Boruta-based feature selection for phishing URL detection

Abstract The objective of this research is to enhance phishing detection through ensemble learning integrated with well-structured metaheuristic algorithms. Various classifiers, including Logistic Regression, Nearest Neighbors, Support Vector Machine, Decision Tree, Naïve Bayes, and Gradient Boostin...

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Detalhes bibliográficos

Principais autores:	Achin Jain, Shakir Khan, Kashish Koli, Harsh Taneja, Arvind Panwar, Thamer Alshammari, Essam Mohamed Obaid, Seid Mehammed Abdu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-12-01
coleção:	Scientific Reports
Assuntos:	Phishing detection Boruta Machine learning Ensemble learning Stacking Optimization
Acesso em linha:	https://doi.org/10.1038/s41598-025-31447-7
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