网络入侵中边界模糊阈值的确定  

The determination of boundary fuzzy threshold in network intrusion

作　　者：章武媚[1] Zhang Wumei(ZhejiangTongji Vocational College of Science and Technology,Hangzhou,Zhejiang 310023,China)

机构地区：[1]浙江同济科技职业学院,浙江杭州310023

出　　处：《计算机时代》2021年第8期37-41,共5页Computer Era

基　　金：浙江水利科技计划项目(No.RC1974)。

摘　　要：在对网络入侵中边界模糊阈值进行确定的过程中,以往都是以入侵数据的单个异常特征为检测基础,没有考虑入侵后数据所表现的阶跃特征,出现网络入侵的判断不确定性,造成获取边界模糊阈值不准确的问题。文章提出一种基于阶跃模糊规则参数训练的网络入侵中边界模糊阈值的确定方法。该方法证明了网络遭到入侵后,数据整体带有阶跃性特征,依据这种阶跃性特征对入侵后的边界模糊阈值进行预测,塑造模糊系统的if-then规则,求出模糊系统的阈值输出,实现网络入侵中边界模糊阈值的确定。实验结果表明,该方法能较为准确地确定入侵模糊阈值,效果明显。In the process of determining the boundary fuzzy threshold in network intrusion,it used to be based on the single abnormal feature of the intrusion data,without considering the step feature of the data after the intrusion,resulting in the uncertainty of network intrusion judgment,which leads to the inaccuracy of obtaining the boundary fuzzy threshold.In this paper,a method to determine the fuzzy threshold in network intrusion based on step fuzzy rule parameter training is proposed.This method proves that the whole data has a step feature after the network is invaded.According to this step feature,the fuzzy threshold after the invasion is predicted,the if-then rules of the fuzzy system are shaped,and the threshold from the output of the fuzzy system is obtained,so as to determine the boundary fuzzy threshold in the network invasion.The experiment results show that this method can determine the fuzzy threshold in intrusion more accurately,and the effect is obvious.

关 键 词：网络入侵 阶跃特征 边界模糊阈值 模糊if-then规则 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]