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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems / / by Shi Jin, Zhaobo Zhang, Krishnendu Chakrabarty, Xinli Gu



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Autore: Jin Shi Visualizza persona
Titolo: Anomaly-Detection and Health-Analysis Techniques for Core Router Systems / / by Shi Jin, Zhaobo Zhang, Krishnendu Chakrabarty, Xinli Gu Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (155 pages) : illustrations
Disciplina: 004.6
Soggetto topico: Electronic circuits
Computer engineering
Internet of things
Embedded computer systems
Electrical engineering
Circuits and Systems
Cyber-physical systems, IoT
Communications Engineering, Networks
Persona (resp. second.): ZhangZhaobo
ChakrabartyKrishnendu
GuXinli
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Anomaly-Detection and Health-Analysis Techniques for Core Router Systems  Visualizza cluster
ISBN: 3-030-33664-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910366579403321
Lo trovi qui: Univ. Federico II
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