Multi-Fractal Traffic and Anomaly Detection in Computer Communications (eBook)

Ming Li (Autor)

eBook Download: EPUB

2022
296 Seiten
CRC Press (Verlag)
978-1-000-81790-4 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 9.1.2023
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Netzwerke
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• ISBN-10: 1-000-81790-3 / 1000817903
• ISBN-13: 978-1-000-81790-4 / 9781000817904