Author

O. Nwokonkwo

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Open access Sep 2026

ERGA-Phish: Optimized Ensemble Learning Framework with Ridge Regression and Genetic Algorithm for Improved Phishing URL Detection

An optimized stacking ensemble framework that integrates Decision Tree, Random Forest, Naïve Bayes, XGBoost, and Artificial Neural Network classifiers, with an ANN serving as the meta-learner is proposed, demonstrating that combining heterogeneous classifiers, feature selection, class balancing, and evolutionary optimi...

Chris Chinaka, O. Nwokonkwo, A. John-Otumu et al. · Machine Learning Research · 0 citations

Open access Sep 2026

Explainable Sequence-Aware Deep Learning Framework for Potential Zero-Day Attack Detection and Cross-Domain Generalization in Enterprise Network Intrusion Detection

Zero-day attacks remain a significant challenge in enterprise network security because their previously unseen characteristics can reduce the effectiveness of conventional signature-based intrusion detection systems. Although machine learning and deep learning have improved intrusion detection, many existing approaches...

Uchechukwu Nwankwo, O. Nwokonkwo, C. Ikerionwu et al. · Machine Learning Research · 0 citations