Using Hilbert-Huang Transform to Characterize Intrusions in Computer Networks

Authors:
Weihong Wang;Kai Pei;Xiaogang Jin
Affiliations:
Zhejiang University of Technology, China/ Bejing University of Aeronautics and Astronautics, China;Zhejiang University of Technology, China;Zhejiang University, China
Venue:
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 05
Year:
2007

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Detecting distributed network traffic anomaly with network-wide correlation analysis

EURASIP Journal on Advances in Signal Processing - Special issue on signal processing applications in network intrusion detection systems

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Abstract

As there is a rapid rampancy of malicious intrusion, people pay more attentions to the network security. This paper presents a new method based on Hilbert-Huang Transform(HHT) to characterize intrusions that can detect many kinds of intrusion according to the number of packets. This paper demonstrates the usefulness of such a method to differentiate abnormal data from normal data. Experiments are performed using intrusion detection data sets and tested for validation. Some results are reported along with analysis and concluding remarks.