机读格式显示(MARC)
- 000 02629cam a2200409 i 4500
- 008 220707s2023 flua b 001 0 eng
- 020 __ |a 9781032408460 |q hbk.
- 020 __ |z 9781032408514 |q pbk.
- 020 __ |z 9781003354987 |q ebk.
- 040 __ |a DLC |b eng |c DLC |d ECN |e rda
- 082 00 |a 004.6/8015118 |2 23/eng/20221017
- 099 __ |a CAL 022023051906
- 100 1_ |a Li, Ming, |d 1955 July 16- |e author.
- 245 10 |a Multi-fractal traffic and anomaly detection in computer communications / |c Ming Li.
- 260 __ |a Boca Raton : |b CRC Press, Taylor & Francis Group, |c 2023.
- 300 __ |a xiii, 282 pages : |b illustrations ; |c 26 cm
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 504 __ |a Includes bibliographical references and index.
- 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.
- 588 __ |a Description based on print version record and CIP data provided by publisher; resource not viewed.
- 650 _0 |a Telecommunication |x Traffic |x Mathematical models.
- 650 _0 |a Local area networks (Computer networks) |x Traffic |x Mathematicall models.
- 650 _0 |a Anomaly detection (Computer security) |x Mathematics.
- 650 _0 |a Fractal analysis.
- 776 08 |i Print version: |a Li, Ming, 1955 July 16- |t Multi-fractal traffic and anomaly detection in computer communications |b First edition. |d Boca Raton : CRC Press, 2023 |z 9780367691653 |w (DLC) 2022032411