Multi-Fractal Traffic and Anomaly Detection in Computer Communications

The book offers an in-depth exploration of mono- and multi-fractal traffic theory, delving into long-range dependent time series and 1/f noise. It examines key concepts such as ergodicity and predictability in traffic patterns, alongside methodologies for traffic modeling and simulation. Additionally, it covers stationarity tests and measurement techniques for traffic, as well as anomaly detection in communications networks, making it a valuable resource for understanding complex traffic behaviors.