Automated detection of changes in computer network measurements using wavelets

Monitoring and measuring various metrics of high speed and high capacity networks produces a vast amount of information over a long period of time. For the collected monitoring data to be useful to administrators, these measurements need to be analyzed and processed in order to detect interesting ch...

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Main Authors:	Konstantinos G. Kyriakopoulos, David J. Parish
Format:	Default Text
Published:	2007
Subjects:	Mechanical engineering not elsewhere classified Computer networks Measurements Wavelet analysis Anomaly detection Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/3036
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id	rr-article-9549515
record_format	Figshare
spelling	rr-article-95495152007-01-01T00:00:00Z Automated detection of changes in computer network measurements using wavelets Konstantinos G. Kyriakopoulos (7168637) David J. Parish (7168355) Mechanical engineering not elsewhere classified Computer networks Measurements Wavelet analysis Anomaly detection Mechanical Engineering not elsewhere classified Monitoring and measuring various metrics of high speed and high capacity networks produces a vast amount of information over a long period of time. For the collected monitoring data to be useful to administrators, these measurements need to be analyzed and processed in order to detect interesting characteristics such as sudden changes. In this paper wavelet analysis is used along with the universal threshold proposed by Donoho - Johnstone in order to detect abrupt changes in computer network measurements. Experimental results are obtained to compare the behaviour of the algorithm on delay and data rate signals. Both type of signals are measurements from real networks and not produced from a simulation tool. Results show that detection of anomalies is achievable in a variety of signals. 2007-01-01T00:00:00Z Text Online resource 2134/3036 https://figshare.com/articles/online_resource/Automated_detection_of_changes_in_computer_network_measurements_using_wavelets/9549515 CC BY-NC-ND 4.0
institution	Loughborough University
collection	Figshare
topic	Mechanical engineering not elsewhere classified Computer networks Measurements Wavelet analysis Anomaly detection Mechanical Engineering not elsewhere classified
spellingShingle	Mechanical engineering not elsewhere classified Computer networks Measurements Wavelet analysis Anomaly detection Mechanical Engineering not elsewhere classified Konstantinos G. Kyriakopoulos David J. Parish Automated detection of changes in computer network measurements using wavelets
description	Monitoring and measuring various metrics of high speed and high capacity networks produces a vast amount of information over a long period of time. For the collected monitoring data to be useful to administrators, these measurements need to be analyzed and processed in order to detect interesting characteristics such as sudden changes. In this paper wavelet analysis is used along with the universal threshold proposed by Donoho - Johnstone in order to detect abrupt changes in computer network measurements. Experimental results are obtained to compare the behaviour of the algorithm on delay and data rate signals. Both type of signals are measurements from real networks and not produced from a simulation tool. Results show that detection of anomalies is achievable in a variety of signals.
format	Default Text
author	Konstantinos G. Kyriakopoulos David J. Parish
author_facet	Konstantinos G. Kyriakopoulos David J. Parish
author_sort	Konstantinos G. Kyriakopoulos (7168637)
title	Automated detection of changes in computer network measurements using wavelets
title_short	Automated detection of changes in computer network measurements using wavelets
title_full	Automated detection of changes in computer network measurements using wavelets
title_fullStr	Automated detection of changes in computer network measurements using wavelets
title_full_unstemmed	Automated detection of changes in computer network measurements using wavelets
title_sort	automated detection of changes in computer network measurements using wavelets
publishDate	2007
url	https://hdl.handle.net/2134/3036
_version_	1797471770599489536

Automated detection of changes in computer network measurements using wavelets

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