A methodological overview on anomaly detection

bookPart









Callegari, C.

Coluccia, A.

D'alconzo, A.

Ellens, W.

Giordano, S.

Mandjes, M.

Pagano, M.

Pepe, T.

Ricciato, F.

Zuraniewski, P.W.
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.
Topics




Communication networksSystem performance and evaluationInformation systemsInternetAnomaly detection
TNO Identifier
471463
Repository link
https://resolver.tno.nl/uuid:2ca3ab55-7865-40b4-971b-596408cb3c7d
ISSN
03029743
ISBN
9783642367830
Publisher
Springer
Source title
Data Traffic Monitoring and Analysis : From Measurement, Classification, and Anomaly Detection to Quality of Experience, Pt.II
Editor(s)
Biersack E.
Callegari C.
Matijasevic M.
Place of publication
Berlin [etc]
Pages
148-183
Files
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