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

Von:

Li, Ming [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: Boca Raton : CRC Press, 2022Beschreibung: 1 Online-Ressource (1 volume)ISBN:

9781003354987
100335498X
9781000817898
100081789X
1000817903
9781000817904

Schlagwörter:

Andere physische Formen: 9781032408460 | 1032408464 | 9781032408460 | Erscheint auch als: Multi-fractal traffic and anomaly detection in computer communications. Druck-Ausgabe Boca Raton : CRC Press, 2022LOC-Klassifikation:

TK5102.985

Online-Ressourcen:

Zugang im Netz des KIT

Zusammenfassung: 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 beneficialPPN: PPN: 1882642627Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB

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