Traffic Abnormalities Identification Based on the Stationary Parameters Estimation and Wavelet Function Detailization

摘要

The article deals with the analysis of the of corporate network traffic properties using statistical methods. The complex method of estimating the stationary of computer network traffic using the autocorrelation function and the Hurst index is proposed. To detect the abnormal behavior of computer network traffic, the wavelet analysis method using the Fourier function, has been developed and tested.