Network Anomaly Detection

This book discusses the detection of anomalies in computer networks from a machine learning perspective. It examines how computer networks work and how they can be attacked by intruders in search of fame, fortune, or challenge. You’ll learn how to look for patterns in captured network traffic data to unearth potential intrusion attempts. Coverage includes machine learning techniques and algorithms, a taxonomy of attacks, and practical tools for launching attacks, capturing packet or flow traffic, extracting features, detecting attacks, and evaluating performance.