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Title: Automated detection of changes in computer network measurements using wavelets
Authors: Kyriakopoulos, Konstantinos G.
Parish, David J.
Keywords: Computer networks
Wavelet analysis
Anomaly detection
Issue Date: 2007
Publisher: © IEEE
Citation: KYRIAKOPOULOS, K.G. and PARISH, D.J., 2007. Automated detection of changes in computer network measurements using wavelets. IN: Proceedings of 16th International Conference on Computer Communications and Networks, ICCCN, Honolulu, Hawaii, USA, 13-16 August. IEEE, pp. 1223 - 1227
Abstract: 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.
Description: This is a conference paper [© IEEE] and is also available online at: http://ieeexplore.ieee.org/xpl/RecentCon.jsp?punumber=4317769 Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
URI: https://dspace.lboro.ac.uk/2134/3036
ISSN: 1095-2055
Appears in Collections:Conference Papers and Contributions (Mechanical, Electrical and Manufacturing Engineering)

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