| 基于GA-SVM网络安全技术研究 |
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| 引用本文： | 林芳.基于GA-SVM网络安全技术研究[J].科技通报,2012,28(4):176-177. |
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| 作者姓名： | 林芳 |
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| 作者单位： | 广西工商职业技术学院,南宁,530003 |
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| 摘 要： | 提出一种遗传算法优化支持向量机算法的网络安全检测方法。混合算法能够直接得到分类超平面的系数,采用最优支持向量机模型对归一化后的网络数据进行检测,最终得到网络入侵结果。本文通过对比分析传统的SVM网络安全技术,验证了GA-SVM技术的优越性。
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| 关 键 词： | 支持向量机 遗传算法 分类问题 网络安全 |
The Study of Network Security Technology Based on GA-SVM |
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| LIN Fang.The Study of Network Security Technology Based on GA-SVM[J].Bulletin of Science and Technology,2012,28(4):176-177. |
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| Authors: | LIN Fang |
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| Institution: | LIN Fang(Guangxi Vocational College of Technology and Business,Nanning,530003,China) |
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| Abstract: | This paper put forward a kind of genetic algorithm optimization support vector machine algorithm network security detection method.Hybrid algorithm can directly obtain the classification hyperplane coefficient,the optimal model of support vector machine to normalized data network to detect network intrusion,finally get the results.Through the contrastive analysis of the traditional SVM network security technology,verify the superiority of GA-SVM technology. |
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| Keywords: | support vector machine genetic algorithm classification network security |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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