Skip to Content
Discovering the causes of cancer and the means of prevention

Publications Search - Abstract View

Title: Wavelet methods for the detection of anomalies and their application to network traffic analysis
Authors: Kwon DW,  Ko K,  Vannucci M,  Reddy ALN,  Kim S
Journal: Qual Reliab Engng Int
Date: 2006 Dec
Branches: BB, REB
PubMed ID:
PMC ID: not available
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 (C) 2006 John Wiley & Sons, Ltd.