数据挖掘技术在网络入侵检测系统中的应用研究

Data Mining in Intrusion Detection System Research

随着网络入侵检测系统的逐步扩展,其应用也逐步扩大,但从反馈的数据来看,现有的入侵检测系统一般存在着数据过载、误报、漏报和自适应差等诸多问题。本文提出一种基于数据挖掘的网络入侵检测系统模型,有效地改变了这种问题,自动化程度得到了提高,检测准备效率与自适应能力也大大地加强了。

Network Intrusion Detection System With the gradual expansion of its applications are expanding,but from the feedback data,existing intrusion detection systems typically exist data overload,misinformation,omissions,and many problems and poor adaptive.In this paper,based on data mining of network intrusion detection system model,Youxiao to Gai Bian Le this problem,obtain the Tigao automation,test Zhunbeixiaoshuai adaptive Neng Li Ye Dada and strengthen.