Multi-Fractal Traffic and Anomaly Detection in Computer Communications Hardback
by Ming Li
Hardback
Description
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.
Information
-
Less than 10 available - usually despatched within 24 hours
- Format:Hardback
- Pages:282 pages, 13 Tables, black and white; 81 Line drawings, black and white; 15 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:29/12/2022
- Category:
- ISBN:9781032408460
Other Formats
- PDF from £56.69
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Information
-
Less than 10 available - usually despatched within 24 hours
- Format:Hardback
- Pages:282 pages, 13 Tables, black and white; 81 Line drawings, black and white; 15 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:29/12/2022
- Category:
- ISBN:9781032408460
