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商品詳細
Multi-Fractal Traffic and Anomaly Detection in Computer Communications.
・ISBN 978-1-032-40846-0 hard GB£ 83.99
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| 著者・編者 | Li, Ming, |
|---|---|
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2022 |
| ページ数 | 282 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-65184＞ |
解説
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.