%0 Journal Article
%T Wavelet and Analysis of Network Traffic Anomalies<br>小波及网络异常行为分析*
%A LIU Lan
%A LI Zhi-tang
%A LI Jia-chun
%A TAN Xiao-ling
%A <br>刘兰
%A 李之棠
%A 李家春
%A 谭晓玲
%J 计算机应用研究
%D 2007
%I 
%X Because of wavelet can process data at different scales which is similar with the real network flow presents fractal/selfsimilar nature in its scaling behavior.A wavelet based distributed ID model approach to analyses network traffic was developed in detail.The model can post attack characteristic more clearly and,by way of improve the veracity,corresponding network node signals of wavelet decomposition was compared.Attacks and the model can detect attack more precisely than the previous model does.
%K anomaly
%K wavelet
%K nerve network<br>异常
%K 小波
%K 神经网络
%K 小波方法
%K 网络异常
%K 行为分析
%K Anomalies
%K Network
%K Traffic
%K Analysis
%K 效果
%K 模拟分析
%K 模型
%K 判别
%K 异常行为
%K 网络行为
%K 重构思想
%K 小波分解
%K 特征
%K 中频域
%K 量具
%K 网络流
%K 分量
%K 代表
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=EF4AD2E7BFCF0B30D197E7EAC70B4875&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=E158A972A605785F&sid=3C6F5C97A07587AE&eid=CA9ED1AB4D9E3E04&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=5