| 基于支持向量机与遗传算法的网络入侵检测的应用 |
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| 引用本文： | 孙名松,孙明瑞.基于支持向量机与遗传算法的网络入侵检测的应用[J].自动化技术与应用,2011,30(3):27-29,49. |
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| 作者姓名： | 孙名松 孙明瑞 |
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| 作者单位： | 1. 哈尔滨理工大学,网络信息中心,黑龙江,哈尔滨,150080
2. 哈尔滨理工大学,计算机科学与技术学院,黑龙江,哈尔滨,150080 |
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| 摘 要： | 入侵检测实质上是一个分类的问题,对于提高分类精度是十分重要的.支持向量机(SVM)是一个功能强人的用于解决分类问题的工具.基于支持向量机的入侵检测精度较高,但如何获得更高的精度是一个新的问题.本文利用基于支持向量机和遗传算法(GA)的入侵检测来解决这些问题.我们首先利用遗传算法进行特征选择及优化,然后使用支持向量机模型...
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| 关 键 词： | 遗传算法 支持向量机 入侵检测 |
Application of Network Intrusion Detection Based on Support Vector Machine and Genetic Algorithm |
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| SUN Ming-song,SUN Ming-rui.Application of Network Intrusion Detection Based on Support Vector Machine and Genetic Algorithm[J].Techniques of Automation and Applications,2011,30(3):27-29,49. |
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| Authors: | SUN Ming-song SUN Ming-rui |
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| Affiliation: | SUN Ming-song1,SUN Ming-rui2(1.Network Information Center,Harbin University of Science & Technology,Harbin 150080 China,2.College of Computer Science & Technology,Harbin 150080 China) |
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| Abstract: | Intrusion detection is essentially a classification problem.It is very important to increase the classification accuracy.Support Vector Machine(SVM) is a powerful tool to solve classification problems.Intrusion detection based on SVM accuracy is relatively high,however how to get a higher accuracy is a new problem.In this paper,SVM and Genetic Algorithm(GA) are applied to intrusion detection to solve this problem.First the GA for feature selection and optimization is used,and then the SVM model is used to d... |
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| Keywords: | genetic algorithm support vector machine intrusion detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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