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bokomslag Multi-Fractal Traffic and Anomaly Detection in Computer Communications
Data & IT

Multi-Fractal Traffic and Anomaly Detection in Computer Communications

Ming Li

Pocket

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  • 282 sidor
  • 2024
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.
  • Författare: Ming Li
  • Format: Pocket/Paperback
  • ISBN: 9781032408514
  • Språk: Engelska
  • Antal sidor: 282
  • Utgivningsdatum: 2024-10-09
  • Förlag: CRC Press