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Multi-Fractal Traffic and Anomaly Detection in Computer Communications

by Ming Li
Save 35% Save 35%
Current price ₹7,057.00
Original price ₹10,856.00
Original price ₹10,856.00
Original price ₹10,856.00
(-35%)
₹7,057.00
Current price ₹7,057.00

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Book cover type: Hardcover
  • ISBN13: 9781032408460
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Taylor & Francis
  • Publisher Imprint: CRC Press
  • Publication Date:
  • Pages: 282
  • Original Price: GBP 83.99
  • Language: English
  • Edition: N/A
  • Item Weight: 708 grams
  • BISAC Subject(s): Networking / General, Security / Network Security, and Probability & Statistics / Time Series

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.

Ming Li, PhD, is a professor at Ocean College, Zhejiang University and the East China Normal University. He has been a contributor for many years to the fields of computer science, mathematics, statistics, and mechanics. He has authored more than 200 articles and 5 monographs on the subjects.

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