Title :
Research on the network security management based on data mining
Author :
Li, Lin ; Xiao, De-bao
Author_Institution :
Dept. of Comput. Sci., HuaZhong Normal Univ., Wuhan, China
Abstract :
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.
Keywords :
computer network security; data acquisition; data integrity; data mining; computer network security management system; data acquisition; data integration; data mining; multisource data collection strategy; Analytical models; Computational modeling; Network Security Management; data mining; intelligent analysis;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5579147