Multi-fractal traffic and anomaly detection in computer communications / Ming Li.
| Author/creator | Li, Ming |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton : CRC Press/Taylor & Francis Group, 2023. |
| Description | xiii, 282 pages illustrations 27 cm |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Physical medium | illustrations |
| Abstract | "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"-- Provided by publisher |
| Bibliography note | Includes bibliographical references and index |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2022032411 |
| ISBN | 9781032408460 hbk |
| ISBN | 9781032408514 pbk |
| ISBN | ebk |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |