| 基于拟牛顿算法优化神经网络的入侵检测研究 |
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| 引用本文： | 李阳,张梁.基于拟牛顿算法优化神经网络的入侵检测研究[J].信息技术,2008,32(11). |
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| 作者姓名： | 李阳 张梁 |
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| 作者单位： | 1. 中南林业科技大学现代教育技术中心,长沙,410004
2. 河北建筑工程学院图书馆,张家口,075024 |
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| 摘 要： | 当前的入侵检测技术主要有基于规则的误用检测和基于统计的异常检测.提出了一种基于拟牛顿算法优化神经网络的入侵检测方法,与传统算法相比,该方法具有收敛快,检测率高等优点.
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| 关 键 词： | 神经网络 入侵检测 拟牛顿算法 |
Research on intrusion detection based on the Quasi-Newton algorithm in neural networks |
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| LI Yang,ZHANG Liang.Research on intrusion detection based on the Quasi-Newton algorithm in neural networks[J].Information Technology,2008,32(11). |
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| Authors: | LI Yang ZHANG Liang |
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| Affiliation: | LI Yang1,ZHANG Liang2(1.Modern Education Technology Center,Central South University of Forestry , Technology,Changsha 410004,China,2.Library of Hebei Architecture , Civil Engineering,Zhangjiakou 075024,China) |
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| Abstract: | The current intrusion detection techniques mainly include rule-based misuse detection and statistics-based anomaly detection.The Quasi-Newton algorithm is taken to optimize traditional BP neural network in this paper.Compared with the traditional BP algorithm,the new method has higher speed in constringency and more precise in detection. |
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| Keywords: | neural networks intrusion detection Quasi-Newton algorithm |
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