摘要
该文在描述决策树分类算法的基础上,叙述了决策树分类算法用于网络入侵检测领域,给出了决策树分类模型的构造过程,并说明了应用基于决策树模型检测入侵的过程。最后用KDD CUP 99数据进行实验,验证了用本文描述的方法检测入侵行为的有效性。
After the decision tree classification algorithm is described,this paper gives how to apply decision tree classification algorithm to the network intrusion detection. It is shown in the text how to construct a classification model of decision tree and how to apply the model to detect intrusion. At last the data sets of KDD CUP99 are used as the experiment data,and the results show the efficiency of our method.
作者
蒲元芳
杜红乐
PU Yuan-fang ,DU Hong-le (Faculty of Computer,Guangdong University of Technology,Guangzhou 510006,China)
出处
《电脑知识与技术》
2010年第3期1560-1563,共4页
Computer Knowledge and Technology
基金
广东省自然科学基金(06021484)
广东省科技计划(2008A060201011)资助
关键词
决策树
入侵检测
分类模型
decision tree
intrusion detection
classification model