| BP神经网络在入侵检测系统中的应用及优化 |
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| 引用本文： | 高小伟,蒋晓芸.BP神经网络在入侵检测系统中的应用及优化[J].山东大学学报(工学版),2006,36(6):107-110. |
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| 作者姓名： | 高小伟 蒋晓芸 |
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| 作者单位： | 山东大学,数学与系统科学学院,山东,济南,250100 |
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| 基金项目： | 教育部博士点专项科研基金(批准号:20030422046) |
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| 摘 要： | BP神经网络运用于入侵检测系统有很多优点，但是也存在一些缺点，如执行速度比较慢的问题等.常用的LMBP算法，虽然收敛速度很快，但是应用于入侵检测系统执行速度仍然不能满足要求.结合KDD99数据集，选取适当的数据，通过加入一些限制条件，对LMBP算法进行了优化.通过实际计算，比较算法优化前后的计算结果，验证了优化算法是有效的.优化后的算法比较明显的提高了BP神经网络应用于入侵检测系统时的执行速度，具有一定的实用价值
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| 关 键 词： | BP神经网络 入侵检测 算法优化 |
| 文章编号： | 1672-3961(2006)06-0107-04 |
| 收稿时间： | 2006-02-10 |
| 修稿时间： | 2006年8月10日 |
The application of BP neural network in intrusion detection system and its optimization |
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| GAO Xiao-wei,JIANG Xiao-yun.The application of BP neural network in intrusion detection system and its optimization[J].Journal of Shandong University of Technology,2006,36(6):107-110. |
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| Authors: | GAO Xiao-wei JIANG Xiao-yun |
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| Affiliation: | School of Math.and System Science，Shandong University，Jinan 250100，China |
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| Abstract: | BP neural network has many merits for its application in intrusion detecting system,while also having some defects,such as its slow running rate.The commonly used LMBP algorithm can not be applied to the intrusion detecting system for its running speed,even with the quick constringency rate.The LMBP algorithm is optimized by utilizing the KDD99 data set,selecting the suitable data and adding some limiting conditions.The computation results before and after the optimization are compared,which confirm the optimized algorithm is effective. The optimized algorithm apparently increases the speed of BP neural network,and has certain practical significances,when it is applied in intrusion detecting system. |
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| Keywords: | BP neural network intrusion detection algorithm optimization |
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