A Comprehensive review on An Ensemble-Based Machine Learning Approach for Phishing Website Detection

Phishing Website Detection with ML is a literature review that surveys the use of machine learning in combatting phishing attacks. It provides insights into ML algorithms, feature engineering, datasets, and application domains. The review also addresses challenges and highlights the need for enhancing model robustness, interdisciplinary collaboration, and privacy-preserving solutions. As the digital threat landscape evolves, this review emphasizes the crucial role of ML in enhancing online security.