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A methodological overview on anomaly detection

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Author: Callegari, C. · Coluccia, A. · D'alconzo, A. · Ellens, W. · Giordano, S. · Mandjes, M. · Pagano, M. · Pepe, T. · Ricciato, F. · Zuraniewski, P.W.
Type:bookPart
Date:2013
Publisher: Springer
Place: Berlin [etc]
Source:Biersack E.Callegari C.Matijasevic M., Data Traffic Monitoring and Analysis : From Measurement, Classification, and Anomaly Detection to Quality of Experience, Pt.II, 148-183
series:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Identifier: 471463
doi: doi:10.1007/978-3-642-36784-7_7
ISBN: 9783642367830
Keywords: Informatics · Communication networks · System performance and evaluation · Information systems · Internet · Anomaly detection · Infrastructures · Information Society · Communication & Information · PNS - Performance of Networks & Services · TS - Technical Sciences

Abstract

In this Chapter we give an overview of statistical methods for anomaly detection (AD), thereby targeting an audience of practitioners with general knowledge of statistics. We focus on the applicability of the methods by stating and comparing the conditions in which they can be applied and by discussing the parameters that need to be set. © 2013 Springer-Verlag Berlin Heidelberg.