The Application of Invasion Ezamination Technology Based on Fuzzy Neural Network in Network Security of TDCS

摘要：

The intrusion detection technology applied to the TDCS network security which combining with fuzzy adaptive resonance theory FART) and the neural network technology (that is FART neural network) in this article. As for the invasion detection datas high dimensional characteristics, to the data dimension reducing processing using the principal component analytical method, enable the invasion data to reduces, the FART neural network scale set simplify, reduce the false alarm rate and a false negative rate specially, improve the detection efficiency, has guaranteed the TDCS network Security better.

关键词： TDCS Fuzzy neural network Intrusion detection technology

作者: WANG Ruifeng YUE Lili

作者单位: School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu,China,730070

会议类型: 国际会议

会议名称: 第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)

会议地点: 重庆

会议语种:英文

页码: 1574-1577

在线出版日期: 2009-08-01（万方平台首次上网日期，不代表论文的发表时间）