A Methodological Overview on Anomaly Detection

Authors
  • C. Callegari
  • A. Coluccia
  • A. D'Alconzo
  • W. Ellens
Publication date 2013
Host editors
  • E. Biersack
  • C. Callegari
  • M. Matijasevic
Book title Data traffic monitoring and analysis: from measurement, classification, and anomaly detection to quality of experience
ISBN
  • 9783642367830
Series Lecture Notes in Computer Science, 7754
Pages (from-to) 148-183
Publisher Berlin: Springer
Organisations
  • Faculty of Science (FNWI) - Korteweg-de Vries Institute for Mathematics (KdVI)
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.
Document type Chapter
Language English
Published at https://doi.org/10.1007/978-3-642-36784-7_7
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