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.
Ming Li
Multi-Fractal Traffic and Anomaly Detection in Computer Communications [PDF ebook]
Multi-Fractal Traffic and Anomaly Detection in Computer Communications [PDF ebook]
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Língua Inglês ● Formato PDF ● Páginas 296 ● ISBN 9781000817898 ● Editora CRC Press ● Publicado 2022 ● Carregável 3 vezes ● Moeda EUR ● ID 8768772 ● Proteção contra cópia Adobe DRM
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