Anomaly Detection and Health Analysis Techniques for Core Router Systems is popular PDF and ePub book, written by Shi Jin in 2019-12-19, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Anomaly Detection and Health Analysis Techniques for Core Router Systems can be Read Online from any device for your convenience.
Anomaly Detection and Health Analysis Techniques for Core Router Systems Book PDF Summary
This book tackles important problems of anomaly detection and health status analysis in complex core router systems, integral to today’s Internet Protocol (IP) networks. The techniques described provide the first comprehensive set of data-driven resiliency solutions for core router systems. The authors present an anomaly detector for core router systems using correlation-based time series analysis, which monitors a set of features of a complex core router system. They also describe the design of a changepoint-based anomaly detector such that anomaly detection can be adaptive to changes in the statistical features of data streams. The presentation also includes a symbol-based health status analyzer that first encodes, as a symbol sequence, the long-term complex time series collected from a number of core routers, and then utilizes the symbol sequence for health analysis. Finally, the authors describe an iterative, self-learning procedure for assessing the health status. Enables Accurate Anomaly Detection Using Correlation-Based Time-Series Analysis; Presents the design of a changepoint-based anomaly detector; Includes Hierarchical Symbol-based Health-Status Analysis; Describes an iterative, self-learning procedure for assessing the health status.
Detail Book of Anomaly Detection and Health Analysis Techniques for Core Router Systems PDF
- Author : Shi Jin
- Release : 19 December 2019
- Publisher : Springer Nature
- ISBN : 9783030336646
- Genre : Technology & Engineering
- Total Page : 155 pages
- Language : English
- PDF File Size : 17,9 Mb
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