A wavelet analysis boundary processing method based on traffic statistics

Abstract

The invention provides a processing method for wavelet analysis boundary based on the flow statistic and relates to a method used for solving of Hurst parameters based on the wavelet analysis and the invention is mainly used for solving the problem of exact solving of the Hurst parameters so as to detect the DDoS attack exactly. In the method, the Mallat algorithm is applied to carry out discrete wavelet decomposition, and flow statistic is done to signals of every grade in the process of multistage decomposition and the average flow is used as the extension signals; the signals waiting to be detected after the pretreatment are set to be S is equal to (S1, S2,..., Sn), and the signal length is n, and the S1, S2, ..., Sn are the statistic flows in the same specified time interval, and the length of a wavelet filter is Wlen, and the maximum decomposable level is that MaxLev is equal to (log 2 (n/Wlen-1) rounding in the lower). By using the method provided by the invention, the Hurst parameters can be calculated more exactly and the DDoS attack can be judged accurately in the DDoS attack based on the self-similarity theory.

Description

technical field The present invention is a boundary processing method based on traffic statistics in the process of solving Hurst (self-similar parameter) parameters by wavelet analysis. It is mainly used for signal boundary processing in the Hurst parameter solving process based on wavelet analysis, and then judges whether a DDoS (Distributed Denial of Service, Distributed Denial of Service) attack occurs according to the Hurst parameter value, and belongs to the field of network security technology. Background technique As the network has become an indispensable part of people's life and work, network security has increasingly become a key point in network applications. Since the day when the Internet was popularized, cybercrime has not stopped, on the contrary, it has become more and more serious. Research on DDoS attacks has become a hot spot and frontier field of network security research at home and abroad, and has attracted great attention from governments, scientif...

AI Technical Summary

Problems solved by technology

Technical problem: the purpose of this invention is to provide a kind of wavelet analysis boundary processing method based

Images