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010 a| 2022032412;

020 a| 9781003140634q| (ebk);

020 z| 9780367691653q| (hbk);

020 z| 9780367691677q| (pbk);

035 a| (WaSeSS)ssj0002856533;

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100 1 a| Li, Ming,d| 1955 January 4-?| UNAUTHORIZED;

245 10 a| Multi-fractal traffic and anomaly detection in computer communicationsh| [electronic resource] /c| Ming Li.;

250 a| First edition.;

260 a| Boca Raton :b| CRC Press,c| 2023.;

263 a| 2301;

300 a| 1 online resource;

504 a| Includes bibliographical references and index.;

506 a| Available only to authorized users.;

520 a| "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"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

588 a| Description based on print version record and CIP data provided by publisher; resource not viewed.;

650 0 a| Telecommunicationx| Trafficx| Mathematical models.=| ^A1370672;

650 0 a| Local area networks (Computer networks)x| Trafficx| Mathematicall models.=| ^A1032402;

650 0 a| Anomaly detection (Computer security)x| Mathematics.?| UNAUTHORIZED;

650 0 a| Fractal analysis.?| UNAUTHORIZED;

655 0 a| Electronic books.=| ^A491897;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9781003354987;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6677185-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 12/19/2025x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6677185-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 12/19/2025x| EBOOKz| JERESOURCE;

Multi-fractal traffic and anomaly detection in computer communications / Ming Li.

Author/creator	Li, Ming
Format	Electronic
Edition	First edition.
Publication Info	Boca Raton : CRC Press, 2023.
Description	1 online resource
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Telecommunication--Traffic. --Mathematical models. Local area networks (Computer networks)--Traffic. --Mathematicall models. Anomaly detection (Computer security)--Mathematics. Fractal analysis.

Abstract	"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"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Source of description	Description based on print version record and CIP data provided by publisher; resource not viewed.
Issued in other form	Print version: Li, Ming, 1955 January 4- Multi-fractal traffic and anomaly detection in computer communications First edition. Boca Raton : CRC Press, 2023 9780367691653
Genre/form	Electronic books.
LCCN	2022032412
ISBN	9781003140634 (ebk)
ISBN	(hbk)
ISBN	(pbk)

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