Using wavelets for compression and detecting events in anomalous network traffic
conference contributionposted on 2009-11-11, 13:50 authored by Kostas KyriakopoulosKostas Kyriakopoulos, David Parish
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 achievable.
- Mechanical, Electrical and Manufacturing Engineering
CitationKYRIAKOPOULOS, 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.
- VoR (Version of Record)
NotesThis 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.