网络入侵识别方法比较研究

Research into The Comparison of Network Intrusion Identification Methods

利用K近邻(KNN)离群点检测方法对2种基于特征选择和特征提取的入侵识别方法进行了评估分析,测试数据使用MIT林肯实验室的KDD99入侵检测数据集,实验结果表明基于特征选择的方法更适于对KDD99数据的入侵识别。

This paper uses K near neighbor （KNN） individual points test method to evaluate and an- alyze two kinds of intrusion identification methods based on characteristic selection and characteris- tic abstraction. KDD99 intrusion test data set of MIT Lincoln laboratory is used to test the data. The experiment results indicate that the method based on characteristic selection is more suitable for the intrusion identification of KDD99 data.