基于小波分析对网络协议指纹识别的研究

小波分析是当前信号、信息获取与处理领域(尤其是故障诊断分析与检测技术)中一个十分活跃且迅速发展的新领域,是当今国际研究热点,它同时具有理论深刻和应用十分广泛的双重意义。基于小波分析对网络协议进行指纹识别研究,利用小波变换把原始信号分解成多频段的信号,对信号进行塔式分解,通过计算处理每一层取得所有的有关Wi信息,提取指纹特征信息,并提出了检测方法和指纹识别系统的体系结构,对解决当今日益突出的网络安全问题进行有益尝试。

Research on Network Protocol Fingerprint Recognition Based on Wavelet Analysis

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.