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|Title: ||Using wavelets for compression and detecting events in anomalous network traffic|
|Authors: ||Kyriakopoulos, Konstantinos G.|
Parish, David J.
|Issue Date: ||2009|
|Publisher: ||© IEEE|
|Citation: ||KYRIAKOPOULOS, K.G. and PARISH, D.J., 2009. Using wavelets for compression and detecting events in anomalous network traffic. IN: Fourth International Conference on Systems and Networks Communications, (ICSNC '09). Porto, Portugal, 20-25 Sept., pp. 195-200.|
|Abstract: ||Monitoring and measuring various metrics of highdata
rate networks produces a vast amount of information over
a long period of time making the storage of the monitored data
a serious issue. Furthermore, for the collected monitoring data
to be useful to network analysts, these measurements need to be
processed in order to detect interesting characteristics.
In this paper wavelet analysis is used as a multi-resolution
analysis tool for compression of data rate measurements. Two
known thresholds are suggested for lossy compression and event
detection purposes. Results show high compression ratios while
preserving the quality (quantitative and visual aspects) and
the energy of the signal and detection of sudden changes are
|Description: ||This is a conference paper [© IEEE] and is also available online at: http://dx.doi.org/10.1109/ICSNC.2009.70 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.|
|Appears in Collections:||Conference Papers and Contributions (Mechanical, Electrical and Manufacturing Engineering)|
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