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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

Phishing remains a persistent cybersecurity threat that exploits deceptive web links to compromise users and organizations. Although machine learning and deep learning techniques have demonstrated strong phishing detection capabilities, challenges related to class imbalance, feature redundancy, generalization, and mode...

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

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