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.
展开▼
