节点文献
基于快速BP学习算法的入侵检测技术研究
Research on Intrusion Detection Technique Based on Rapidly BP Learning Algorithm
【摘要】 本文构建了一个新的入侵检测模型,利用MATLAB神经网络工具箱中提供四种典型的快速改进算法作为BP网络训练的学习函数;实验结果表明,采用最佳网络设计的入侵检测模型能加速网络收敛,降低计算机资源消耗,提高检测率。
【Abstract】 A new intrusion detection model is accomplished in this paper,which makes use of four typical sorts of rapidly improved algorithm provided MATLAB Neural Network Toolbox as learning function of BP networks.The results of experi-ment show that the intrusion detection model applied optimal networks design can accelerate the convergence of neural network,decrease computer resources comsumption and increase detection rate.
【关键词】 入侵检测;
BP神经网络;
MATLAB;
快速学习算法;
【Key words】 intrusion detection; BP neural networks; MATLAB; rapidly learning algorithm;
【Key words】 intrusion detection; BP neural networks; MATLAB; rapidly learning algorithm;
- 【文献出处】 网络安全技术与应用 ,Network Security Technology & Application , 编辑部邮箱 ,2006年08期
- 【分类号】TP393.08
- 【被引频次】1
- 【下载频次】114