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2. Network traffic anomaly detection based on self-similarity using FRFT

Author

Ye Xiaolong, Julong Lan, and Wanwei Huang

Subjects
Self-similarity, Series (mathematics), Network security, business.industry, Estimation theory, Computer science, Speech recognition, Fractional Fourier transform, symbols.namesake, Fractal, Fourier transform, symbols, Anomaly detection, business, Algorithm
Abstract

Since traditional abnormal detection methods have poor performance, and Hurst parameter estimation was affected by non-stationary traffic. An abnormal detection method based on Hurst parameter estimation using Fractional Fourier Transform (FRFT) was implemented. The experimental results show that FRFT estimation method was not affected by non-stationary time series and has better performance on Hurst estimation. We also verify the improvement in the network traffic anomaly detection.

Published
2013
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