Multi-Fractal Traffic and Anomaly Detection in Computer Communications

di Ming Li (Autore)

Taylor & Francis Ltd, 2024

This book provides a comprehensive theory of mono- and multi-fractal traffic, including the basics of long-range dependent time series and 1/f noise, ergodicity and predictability of traffic, traffic modeling and simulation, stationarity tests of traffic, traffic measurement and the anomaly detection of traffic in communications networks. Proving that mono-fractal LRD time series is ergodic, the book exhibits that LRD traffic is stationary. The author shows that the stationarity of multi-fractal traffic relies on observation time scales, and proposes multi-fractional generalized Cauchy processes and modified multi-fractional Gaussian noise. The book also establishes a set of guidelines for determining the record length of traffic in measurement. Moreover, it presents an approach of traffic simulation, as well as the anomaly detection of traffic under distributed-denial-of service attacks. Scholars and graduates studying network traffic in computer science will find the book beneficial.

• Autore: Ming Li
• Editore: Taylor & Francis Ltd
• Anno: 2024
• Rilegatura: Paperback / softback
• Pagine: 282 p.
• Dimensioni: 254 x 178 mm
• Peso: 550 gr.
• EAN: 9781032408514

Testo in English