Research on Anomaly Intrusion Detection Based on Rough Set Attribute Reduction

摘要：

　　With growing amount of network information flowing,the limitations of the traditional network IDSs are more and more outstanding,it couldnt adapt to the trend of increasing novel network attacks and data quantity.Rough Sets reduction theory can effectively avoid redundancy,reduce the extra attributes in the large information.In order to find the novel attacks in IDSs,this paper presents the method of how to measure distance with rough set theory,and the results show that it is efficient to find anomaly.

关键词： Rough set Attribute reduction Anomaly Intrusion Detection Classification

作者: Liu Cuijuan Li Yuanyuan Qin Yankai

作者单位: Shijiazhuang University of Economics Shijiazhuang, China Vocational and Technical training center of Hebei electric power corporation Shijiazhuang, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 607-610

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）