LEVERAGING MACHINE LEARNING FOR DYNAMIC WEB TRAFFIC ANALYSIS: A TECHNICAL DEEP DIVE

This comprehensive technical article explores the integration of machine learning in web traffic analysis and security, focusing on behavioral analysis and dynamic policy updates for Web Application Firewalls (WAF). It examines the establishment of behavioral baselines, implementation of machine learning models, and real-time adaptation mechanisms in cybersecurity. The article addresses the challenges of