Application of Data Mining in Intrusion Detection

摘要：

This paper analyzing the lastest research progress and mian problems existed of IDS,researching advantage of data mining technique applied to IDS,and analyzing disadvantage of IDS based on data mining technique,for the problem of time and space inefficient in intrusion detection based on data mining,and aims at the research of frequential pattern algorithm, inproved frequential pattern algorithm,used two-step growth model instead of one step model to speed up the mining speed,and increase in time fe atures,attribute related and axis attribute to constraint,and the experimental results show the proved algorithm improve the time and space efficiency,decrease the time of scan database and generate less meaningless pattern,heighten the availability fo rule.

关键词： network security intrusion detection frequential pattern

作者: LI Yun LIU Xue-cheng ZHU Feng

作者单位: The Department of Mathematics, TaiShan College, ShanDong TaiAn 271021 Tai An, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 153-155

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）