计算机工程与应用2011，Vol.47Issue(28)：80-82,134,4.DOI:10.3778/j.issn.1002-8331.2011.28.021
基于QPSO优化投影寻踪的网络入侵检测方法
Network intrusion detection method based on QPSO optimization projection pursuit algorithm
摘要
Abstract
Existing intrusion detection systems have many problems such as detection rate,false positive rate.An intrusion detection based on optimization projection pursuit algorithm is proposed.Aimed at the optimization problem of calculating the best projected vector of projection pursuit,a method is used based on QPSO.Optimization projection pursuit algorithm is implemented to project the data of feature from high dimension to low dimension,then the category of the network data is determined by the clustering algorithm.The algorithm includes data preconditioning, data normalized, the best projected vector calculation, data project to low dimension, and finally inspects data categorization.The experimental results show that the performance of the present method is feasible and effective.关键词
投影寻踪/入侵检测/量子粒子群算法Key words
projection pursuit/intrusion detection/Quantum Particle Swarm Optimization(QPSO)分类
信息技术与安全科学引用本文复制引用
朱丽华,刘以安,魏敏..基于QPSO优化投影寻踪的网络入侵检测方法[J].计算机工程与应用,2011,47(28):80-82,134,4.基金项目
教育部重点科学研究基金项目(No.105087). （No.105087）
