Research on Network Protocol Fingerprint Recognition Based on Wavelet Analysis

Xie Hong-tao
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Abstract

At present, wavelet analysis is an active and rapidly developing domain in the field of signal information acquisition and processing (particularly in failure diagnostic analysis and detecting technology), and it is an international research hotspot. It has double significance of both profound theory and wide application. The authors conduct the research of network protocol fingerprint recognition based on wavelet analysis, which decomposes the primary signal to multi-frequency signal through wavelet transformation, decomposes the signal in the tower pattern, calculate and obtain all the related Wi information and pick up the characteristic information of the fingerprint. This article has proposed the detecting method and the system structure of fingerprint recognition, and has made a beneficial attempt to solve the problem of network security that is increasingly serious day by day.
基于小波分析的网络协议指纹识别研究
目前,小波分析是信号信息采集与处理领域(特别是故障诊断分析与检测技术)中一个活跃而迅速发展的领域,是国际上的研究热点。它具有理论深刻和应用广泛的双重意义。本文对基于小波分析的网络协议指纹识别进行了研究,通过小波变换将原始信号分解为多频信号,对信号进行塔形图分解,计算得到所有相关的Wi信息,提取指纹的特征信息。本文提出了指纹识别的检测方法和系统结构,为解决日益严重的网络安全问题做了有益的尝试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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