Experimentation of Data Mining Technique for Systems Security:A Comparative Study

摘要：

　　Given the increasing number of users of computer systems and networks, it is difficult to know the profile of the latter and therefore the intrusion has become a highly prized of community of network security.In this paper to address the issues mentioned above, we used the data mining techniques namely association rules, decision trees and Bayesian networks.The results obtained on the KDD99 benchmark has been validated by several evaluation measures, and are promising and provide access to other techniques and hybridization to improve the security and confidentiality in the field.

关键词： Association rules Intrusion Detection Data Mining Knowledge Discovery KDD 99

作者: Ahmed Chaouki Lokbani Ahmed Lehireche Reda Mohamed Hamou

作者单位: Dr Moulay Tahar University of SAIDA, Computer Science Department, Algeria Djillali Liabbes University of Sidi Bel Abbes, Science Department, Algeria

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 248-257

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）