基于RST和SVM的入侵检测系统

刘碧森, 钟守铭

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, 2005, 34(4): 533-536.
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, 2005, 34(4): 533-536.
LIU Bi-sen, ZHONG Shou-ming. IDS Based on RST and SVM[J]. Journal of University of Electronic Science and Technology of China, 2005, 34(4): 533-536.
Citation: LIU Bi-sen, ZHONG Shou-ming. IDS Based on RST and SVM[J]. Journal of University of Electronic Science and Technology of China, 2005, 34(4): 533-536.

基于RST和SVM的入侵检测系统

详细信息
    作者简介:

    刘碧森(1976-),男,硕士,主要从事稳定性理论、学习机、神经网络等方面的研究.

  • 中图分类号: TP273+.22;O234

IDS Based on RST and SVM

  • 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。
    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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出版历程
  • 收稿日期:  2004-06-08
  • 刊出日期:  2005-08-14

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