计算机应用与软件2011，Vol.28Issue(8)：287-288,292,3.
基于免疫算法和反向传播神经元网络的无线网络入侵检测研究
IMMUNE ALGORITHM AND BACK PROPAGATION NEURAL NETWORK BASED WIRELESS NETWORK INTRUSION DETECTION STUDY
摘要
Abstract
In order to detect in the wireless network system both known and unknown types of intrusions and strengthen the wireless network system security, on the basis of network data analysis and study, an immune algorithm and back propagation neural network based intrusion detection approach is put forward. First of all network data is pre-processed with the immune algorithm, then the processed data or codes are recognized with the back propagation neural network. Experiments show that it is practical and effective to detect new types of intruders by the proposed approach, whose detection accuracy can reach as high as 97%.关键词
免疫算法反向传播神经元网络入侵检测/特征选择Key words
Immune algorithm Back propagation neural network (BPNN) Intrusion detection Feature selection分类
信息技术与安全科学引用本文复制引用
靳旭玲,余桂贤,徐亚飞,李光平,薛阳..基于免疫算法和反向传播神经元网络的无线网络入侵检测研究[J].计算机应用与软件,2011,28(8):287-288,292,3.基金项目
北京建筑工程学院科学研究基金项目(100803807) （100803807）
