会议专题

Research on The Network Security Management Based on Data Mining

Against the defect that the traditional computer network security management system processes a mass of data with low efficiency and accuracy, a novel network security management model based on data mining is proposed in this paper. It makes use of multi-source data collection strategy to acquisition and integrate the relevant data of different security products, and takes advantage of data mining technology for massive data to analyze them comprehensively and intelligently and response automatically. The experimental result reveals that the model performs well. It can identify the real attacks from a large number of security events with a good performance, so that the alarm information will be refined with low false or wrong alarms, the accuracy, intelligence and adaptability of network security management will be enhanced and the requirements of new security situation will be met.

Network Security Management data mining intelligent analysis

Lin Li De-bao Xiao

Department of Computer Science HuaZhong Normal University Wuhan, P. R. China

国际会议

2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

成都

英文

1-4

2010-08-20(万方平台首次上网日期,不代表论文的发表时间)