Adaptive Network Traffic Analysis and Anomaly Detection Framework

Develop a high-performance network traffic analysis framework that can process millions of network events with real-time anomaly detection capabilities. Implement a solution using stream processing techniques, with support for machine learning-based threat detection, automatic feature extraction, and adaptive learning models. Include comprehensive visualization tools and support for multiple data sources (network logs, packet captures, system metrics).