Author

Mahmudur Rashid

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Open access 2026

Explainable Gradient Boosting for Transparent Phishing URL Detection: A Cross-Dataset, Statistically Validated SHAP Analysis of XGBoost, LightGBM, and CatBoost

: Phishing remains one of the most persistent attack vectors in cybersecurity, and the gradient-boosting models that now dominate its automated detection are frequently deployed as opaque classifiers, which limits analyst trust and slows incident response. This paper presents a cross-dataset, explainability-driven eval...

S. M. Nihal Ahmed, Afrim Hossen Khan, Mahmudur Rashid · Journal of Cyber Security · 0 citations

#natural language process... Preprint May 2026

Seeing Without Understanding: Large Language Model Evaluation of Mobile User Interface Quality, Failure Taxonomy, and Architectural Explanation

This paper derives a heuristic baseline built from severity-weighted usability signals, normalized layout metrics, and pixel-ratio complexity measures calibrated to real user sentiment from the complete RICO dataset of 66,261 real-world mobile application screens.

M. Sadi, Golam Mostofa Naeem, Toufiqur Rahman Tasin et al. · 0 citations