A Comparative Analysis of Feature Selection Methods for Machine Learning-Based Phishing URL Detection
This study investigates the impact of three categories of feature selection methods which are filter-based, wrapper-based, and embedded on the performance and efficiency of machine learning classifiers for phishing URL detection. Experiments were conducted on the PhiUSIIL Phishing URL Dataset comprising 235,795 URLs (1...