Wavelet methods for the detection of anomalies and their application to network traffic analysis
DW Kwon, K Ko, M Vannucci… - Quality and Reliability …, 2006 - Wiley Online Library
Quality and Reliability Engineering International, 2006•Wiley Online Library
Here we develop an integrated tool for the online detection of network anomalies. We
consider statistical change point detection algorithms, for both local changes in the variance
and for the detection of jumps, and propose modified versions of these algorithms based on
moving window techniques. We investigate performances on simulated data and on network
traffic data with several superimposed attacks. All detection methods are based on wavelet
packet transforms. Copyright© 2006 John Wiley & Sons, Ltd.
consider statistical change point detection algorithms, for both local changes in the variance
and for the detection of jumps, and propose modified versions of these algorithms based on
moving window techniques. We investigate performances on simulated data and on network
traffic data with several superimposed attacks. All detection methods are based on wavelet
packet transforms. Copyright© 2006 John Wiley & Sons, Ltd.
Abstract
Here we develop an integrated tool for the online detection of network anomalies. We consider statistical change point detection algorithms, for both local changes in the variance and for the detection of jumps, and propose modified versions of these algorithms based on moving window techniques. We investigate performances on simulated data and on network traffic data with several superimposed attacks. All detection methods are based on wavelet packet transforms. Copyright © 2006 John Wiley & Sons, Ltd.
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