Description
| Product ID: | 9781032408460 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Title: | Multi-Fractal Traffic and Anomaly Detection in Computer Communications |
| Authors: | Author: Ming Li |
| Page Count: | 282 |
| Subjects: | Computer networking and communications, Computer networking & communications, Distributed systems, Computer architecture and logic design, Distributed systems, Computer architecture & logic design |
| Description: | Select Guide Rating 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. 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. |
| Imprint Name: | CRC Press |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2022-12-29 |
