Multi-Fractal Traffic and Anomaly Detection in Computer Communications
Author | : Ming Li |
Publisher | : CRC Press |
Total Pages | : 297 |
Release | : 2022-12-29 |
ISBN-10 | : 9781000817898 |
ISBN-13 | : 100081789X |
Rating | : 4/5 (98 Downloads) |
Download or read book Multi-Fractal Traffic and Anomaly Detection in Computer Communications written by Ming Li and published by CRC Press. This book was released on 2022-12-29 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.