基于模糊决策树的入侵规则生成技术  

Invasion Rule Generation Based on Fuzzy Decision Tree

作　　者：郭洪荣[1] 

机构地区：[1]营口职业技术学院,营口115000

出　　处：《价值工程》2013年第6期190-191,共2页Value Engineering

摘　　要：计算机免疫系统模型GECISM中的类MC Agent,可有效的利用模糊决策树Fuzzy-Id3算法,将应用程序中系统调用视为数据集构造决策树,便会生成计算机免疫系统中入侵检测规则,并分析对比试验结束后的结果,利用Fuzzy-Id3算法所生成的规则对于未知数据的收集进行分类,具有低误报率、低漏报率。Class mc agent of computer immune system model gecism can effectively use fuzzy decision-making tree fuzzy-id3 algorithm, consider the system call in application program as data set constructed decision-making tree, generate the invasion detection rules of computer immune system, and analyze comparison test results, use rules generated by fuzzy-id3 algorithm to classify for unknown data of collection, has low errors reported rate, and low omitted rate.

关 键 词：模糊决策树 入侵检验 规则 计算机免疫系统 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]