Hybrid Ensemble Learning For Malicious URL Detection: A Literature Review of Machine Learning, Deep Learning, and Feature-Fusion Approaches
The rapid evolution of phishing, malware distribution, and other web-based attacks has made malicious Uniform Resource Locator (URL) detection an important cybersecurity research problem. Traditional blacklist and rule-based mechanisms provide efficient protection against known malicious addresses but may fail when att...