03894nam 22006255 450 991036657940332120200702232047.03-030-33664-610.1007/978-3-030-33664-6(CKB)5280000000190203(MiAaPQ)EBC6000783(DE-He213)978-3-030-33664-6(PPN)242820603(EXLCZ)99528000000019020320191219d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAnomaly-Detection and Health-Analysis Techniques for Core Router Systems /by Shi Jin, Zhaobo Zhang, Krishnendu Chakrabarty, Xinli Gu1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (155 pages) illustrations3-030-33663-8 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.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.Electronic circuitsComputer engineeringInternet of thingsEmbedded computer systemsElectrical engineeringCircuits and Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/T24068Cyber-physical systems, IoThttps://scigraph.springernature.com/ontologies/product-market-codes/T24080Communications Engineering, Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/T24035Electronic circuits.Computer engineering.Internet of things.Embedded computer systems.Electrical engineering.Circuits and Systems.Cyber-physical systems, IoT.Communications Engineering, Networks.004.6Jin Shiauthttp://id.loc.gov/vocabulary/relators/aut1064580Zhang Zhaoboauthttp://id.loc.gov/vocabulary/relators/autChakrabarty Krishnenduauthttp://id.loc.gov/vocabulary/relators/autGu Xinliauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910366579403321Anomaly-Detection and Health-Analysis Techniques for Core Router Systems2539289UNINA