现代电子技术2016，Vol.39Issue(21)：123-126,4.DOI:10.16652/j.issn.1004-373x.2016.21.030
基于群智能算法优化神经网络的网络安全事件分析
Network security event analysis based on swarm intelligence algorithm optimizing neural network
高峰1
作者信息
- 1. 重庆文理学院 软件工程学院,重庆 402160
- 折叠
摘要
Abstract
A network security event analysis model based on swarm intelligence algorithm optimizing neural network is stu-died. The genetic algorithm and LMS algorithm are used to optimize the hidden layer neurons quantity,basis function center, connection threshold and weight of each layer of the conventional RBF neural network,so as to obtain the optimal solution,im-prove the training efficiency and accuracy of the RBF neural network model,and the efficiency and accuracy of the network se-curity event analysis based on RBF neural network. The network intrusion event data in KDD CUP99 dataset is used to perform the instance study for the network security intrusion events analysis model. The test results show that the analysis model has more recognition accuracy than the model established by the conventional neural network algorithm,and can accurately identify and analyze the normal events and four network attack events.关键词
遗传算法/LMS算法/RBF神经网络/入侵识别/网络安全事件分析Key words
genetic algorithm/LMS algorithm/RBF neural network/intrusion detection/network security event analysis分类
信息技术与安全科学引用本文复制引用
高峰..基于群智能算法优化神经网络的网络安全事件分析[J].现代电子技术,2016,39(21):123-126,4.
