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Author

A. Alhogail

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Open access Sep 2026

Hybrid feature selection with SHAP-based explainable AI for interpretable phishing website detection

Overall, the findings demonstrate that integrating statistical, information-theoretic, and explainability-driven feature selection can substantially reduce feature dimensionality while preserving predictive performance and improving model interpretability.

Norah Alsuqayh, A. Alhogail, Abdulrahman A. Mirza · 0 citations
Open access 2026

ITDF: A Deep Learning Insider Threat Detection Framework Based on Abnormal Logon Behavior

These findings highlight the effectiveness of leveraging temporal logon patterns, combined with cost-sensitive optimization, to identify potentially malicious authentication activity before access to sensitive organizational resources.

Laila Hajr, A. Alhogail, Sarah Albassam et al. · 0 citations
Open access Aug 2026

Hybrid AI-Based Detection of LLM-Generated Phishing Emails

This study demonstrates how integrating contextual cues and custom lexical signals can significantly improve the detection of AI-generated phishing content and develop sophisticated and resilient defenses against emerging AI-enabled threats.

Raghad Ghawa, A. Alhogail · 0 citations

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