摘要
混沌理论作为非线性理论的一个重要分支,越来越多的应用到网络流量分析中。在相空间重构的基础上,通过递归图(RP)和定量递归分析(RQA),定性和定量分析某校园网络流量的混沌特性,然后借鉴滑动窗口的概念,提出了基于混沌特征值的异常流量检测方法。
Chaos theory,as an important branch of non-linear theory,has been increasingly applied to network traffic analysis.On the basis of phase space reconstruction,recurrence plot(RP) and recurrence quantification analysis(RQA) are used to analyse chaos characteristics of campus network traffic qualitatively and quantitatively.With the sliding window concept applied,the detection method for anomaly traffic based on chaos eigenvalue is presented.
出处
《计算机应用与软件》
CSCD
北大核心
2012年第6期275-277,281,共4页
Computer Applications and Software
关键词
混沌特性
相空间重构
递归图
定量递归分析
异常检测
Chaos characteristics Phase space reconstruction Recurrence plot(RP) Recurrence quantification analysis(RQA) Anomaly detection