| 基于RST和SVM的入侵检测系统 |
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| 引用本文： | 刘碧森,钟守铭. 基于RST和SVM的入侵检测系统[J]. 电子科技大学学报(社会科学版), 2005, 0(4) |
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| 作者姓名： | 刘碧森 钟守铭 |
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| 作者单位： | 电子科技大学应用数学学院 成都610054(刘碧森)，电子科技大学应用数学学院 成都610054(钟守铭) |
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| 摘 要： | 结合粗糙集理论和支持向量机的特点,构建了基于粗糙集理论和支持向量机的知识简化系统,针对入侵检测系统进行了研究分析,建立了基于粗糙集理论和支持向量机的入侵检测系统,最后通过仿真实验比较,其结果表明该系统有效改进了以往的入侵检测系统的。
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| 关 键 词： | 支持向量机 粗糙集理论 入侵检测 知识简化 |
IDS Based on RST and SVM |
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| LIU Bi-sen,ZHONG Shou-ming. IDS Based on RST and SVM[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 2005, 0(4) |
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| Authors: | LIU Bi-sen ZHONG Shou-ming |
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| Abstract: | In this paper, RST is integrated with SVM, and knowledge reduction system is constructed based on RST and SVM, and integrated Rough Set Theory into SVM. Then Intrusion Detection System (IDS) based on RST and SVM is built by analyzing IDS. Finally, comparison of detection ability between the above detection method and others is given. So the IDS based on RST and SVM is a better project. |
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| Keywords: | rough set theory support vector machine intrusion detection knowledge reduction |
| 本文献已被 CNKI 等数据库收录！ |
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