Peer-reviewedCC BYFrontiers in artificial intelligence
Explainable AI for phishing URL detection: a Bayesian-optimized stacking ensemble framework with SHAP-guided feature learning
4 affiliations
- 1Department of Information Technology, Washington University of Science and Technology , , ,
- 2Department of Business Analytics, Mercy University , , ,
- 3St. Francis College , , ,
- 4Department of Information Systems Security, University of the Cumberlands , , ,
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BibTeX
@article{khan2026explainable,
title = {{Explainable AI for phishing URL detection: a Bayesian-optimized stacking ensemble framework with SHAP-guided feature learning}},
author = {Hafiz Aziz Khan and Sonia Akter and Abdur Rahman Lindon and Taslima Akter and Iftekhar Rasul and Mamunur Rahman and Nasrin Akter Tohfa and Iftekhar Hossain},
journal = {Frontiers in artificial intelligence},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13672667},
note = {CC BY},
}
RIS
TY - JOUR
TI - Explainable AI for phishing URL detection: a Bayesian-optimized stacking ensemble framework with SHAP-guided feature learning
AU - Hafiz Aziz Khan
AU - Sonia Akter
AU - Abdur Rahman Lindon
AU - Taslima Akter
AU - Iftekhar Rasul
AU - Mamunur Rahman
AU - Nasrin Akter Tohfa
AU - Iftekhar Hossain
PY - 2026
DA - 2026/10/19
JO - Frontiers in artificial intelligence
UR - https://europepmc.org/article/PMC/PMC13672667
SN - 2624-8212
ER -