A novel phishing detection model using PolyScore feature evaluator and enhanced soft voting ensemble

Social networking has become an integral part of daily life.People worldwide use platforms such as Facebook, Instagram, and Twitter to communicate, stay informed, and explore the world [1].Both individuals and businesses leverage social media to promote products, share updates about promotions and events, and attract new customers [2].This makes social media an attractive platform for phishers to carry out their attacks.Social media phishing (SMP) occurs when attackers target users through platforms such as Instagram, LinkedIn, Facebook, or Twitter [3].With over 1.3 billion users engaging on various social media platforms each month, SMP has become an increasingly appealing and effective tactic for fraudsters.