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A Filter-Based Feature Selection Framework to Detect Phishing URLs Using Stacking Ensemble Machine Learning

Nimra Bari Tahir Saleem Munam Shah Abdulmohsen Algarni Asma Patel Insaf Ullah

Computer Modeling in Engineering & Sciences2025，Vol.145Issue(10)：P.1167-1187,21.

Computer Modeling in Engineering & Sciences2025，Vol.145Issue(10)：P.1167-1187,21.DOI:10.32604/cmes.2025.070311

A Filter-Based Feature Selection Framework to Detect Phishing URLs Using Stacking Ensemble Machine Learning

Nimra Bari ¹Tahir Saleem ²Munam Shah ³Abdulmohsen Algarni ⁴Asma Patel ⁵Insaf Ullah⁶

作者信息

1. Faculty of Computer Science and Engineering,GIK Institute of Engineering Sciences and Technology,Topi,23640,Pakistan
2. Department of Computing,Hamdard University Islamabad Campus,Islamabad,44000,Pakistan
3. Department of Computer Networks and Communication,College of Computer Science and Information Technology,King Faisal University,Al-Ahsa,31982,Saudi Arabia
4. Department of Computer Science,King Khalid University,Abha,61421,Saudi Arabia
5. Department of Operations and Information Management,Aston Business School,Aston University,Birmingham,B47ET,UK
6. Institute for Analytics and Data Science,University of Essex,Colchester,CO43SQ,UK
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摘要

关键词

Phishing detection/feature selection/phishing detection/stacking ensemble/machine learning/phishing URL

分类

信息技术与安全科学

引用本文复制引用

Nimra Bari,Tahir Saleem,Munam Shah,Abdulmohsen Algarni,Asma Patel,Insaf Ullah..A Filter-Based Feature Selection Framework to Detect Phishing URLs Using Stacking Ensemble Machine Learning[J].Computer Modeling in Engineering & Sciences,2025,145(10):P.1167-1187,21.

基金项目

financially supported by the Deanship of Scientific Research and Graduate Studies at King Khalid University under research grant number(R.G.P.2/21/46) （R.G.P.2/21/46）

in part by the Deanship of Scientific Research,Vice Presidency for Graduate Studies and Scientific Research,King Faisal University,Saudi Arabia,under Grant KFU253116. （）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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