Custom cover image
Custom cover image

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

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Boca Raton : CRC Press, 2022Description: 1 Online-Ressource (1 volume)ISBN:
  • 9781003354987
  • 100335498X
  • 9781000817898
  • 100081789X
  • 1000817903
  • 9781000817904
Subject(s): Additional physical formats: 9781032408460 | 1032408464 | 9781032408460 | Erscheint auch als: Multi-fractal traffic and anomaly detection in computer communications. Druck-Ausgabe Boca Raton : CRC Press, 2022LOC classification:
  • TK5102.985
Online resources: Summary: 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
No physical items for this record

Powered by Koha