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Anomaly detection of network traffic based on Analytical Discrete Wavelet Transform

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2 Author(s)
Marius Salagean ; Department of Communications, University “Politehnica” of Timisoara, Faculty of Etc, Romania ; Ioana Firoiu

Signal processing techniques have attracted a lot of attention recently in the networking security technology, because of their capability of detecting novel intrusions or attacks. In this paper, we propose a new detection mechanism of network traffic anomaly based on Analytical Discrete Wavelet Transform (ADWT) and high-order statistical analysis. In order to describe the network traffic information, we use a set of features based on different metrics. We evaluate our technique with the 1999 DARPA intrusion detection dataset. The test results show that the proposed approach accurately detects a wide range of anomalies.

Published in:

Communications (COMM), 2010 8th International Conference on

Date of Conference:

10-12 June 2010