Anomaly-Detection and Health-Analysis Techniques for Core Router Systems
Springer International Publishing (Verlag)
978-3-030-33663-9 (ISBN)
- 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.
Shi Jin is a Senior DFT Engineer at Nvidia Corporation, in Santa Clara, California. Zhaobo Zhang is a Staff Engineer at Huawei Technologies, in Santa Clara, California. Krish Chakrabarty is the William H. Younger Distinguished Professor of Engineering in the Department of Electrical and Computer Engineering, at Duke University in Durham, NC. He has been at Duke University since 1998. His current research is focused on: testing and design-for-testability of integrated circuits (especially 3D and multicore chips); digital microfluidics, biochips, and cyberphysical systems; optimization of digital print and production system infrastructure. His research projects in the recent past have also included chip cooling using digital microfluidics, wireless sensor networks, and real-time embedded systems. Research support is provided by the National Science Foundation, the Semiconductor Research Corporation, Cisco Systems, HP Labs, Huawei Technologies, and Intel Corporation through Intel Lab's Academic Research Office. Other sponsors in the past have included National Institutes of Health , DARPA and the Office of Naval Research.
Introduction.- Anomaly Detection Using Correlation-Based Time-Series Analysis.- Changepoint-based Anomaly Detection.- Hierarchical Symbol-based Health-Status Analysis.- Self-Learning Health-Status Analysis.- Conclusion.
Erscheinungsdatum | 22.01.2020 |
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Zusatzinfo | XIII, 148 p. 101 illus., 90 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 418 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Technik ► Elektrotechnik / Energietechnik | |
Technik ► Nachrichtentechnik | |
Schlagworte | Changepoint-based Anomaly Detection • Internet Protocol (IP) network routers • network anomaly detection • Network Outlier Analysis • Self-Learning Health-Status Analysis |
ISBN-10 | 3-030-33663-8 / 3030336638 |
ISBN-13 | 978-3-030-33663-9 / 9783030336639 |
Zustand | Neuware |
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