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

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.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Release date:	December 2022
First published:	2023
Authors:	Ming Li
Dimensions:	254 x 178 x 23mm (L x W x T)
Format:	Hardcover
Pages:	282
ISBN-13:	978-1-03-240846-0
Categories:	Books > Computing & IT > Computer communications & networking > General Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General Promotions
LSN:	1-03-240846-4
Barcode:	9781032408460

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