Publications Search - Abstract View
||Wavelet methods for detection of anomalies and their application to network traffic analysis
||Kwon DW, Ko K, Vannucci M, Reddy AL, Kim S
||Quality and Reliability Engineering International
||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.