Multi-Fractal Traffic and Anomaly Detection in Computer Communications

[LeeAndro]

English | 2023 | ISBN: ‎ 1032408464| 297 pages | True PDF | 38.56 MB

This book provides a comprehensive theory of mono- and multi-fractal traffic, including the basics of long-range dependent 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 series is ergodic, the book exhibits that LRD traffic is stationary. The author shows that the stationarity of multi-fractal traffic relies on observation scales, and proposes multi-fractional generalized Cauchy processes and modified multi-fractional Gaussian noise. The book also establishes a set of guidelines for deteing 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.



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