期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：57
期号：2
出版社：Journal of Theoretical and Applied
摘要：This paper presents recent trends and practices in data mining to handle the rising risks and threats in the area of Network security in today�s digital age and discusses the various data mining tools for data analysis and prediction, network tools for sniffing and analyzing the networks. This paper proposes a supervised learning based Intrusion Detection System (IDS) to identify the intruders, attackers in a network and covers the most significant advances and emerging research issues in the field of data mining in network security. This will be beneficial to academicians, industrialists and students who incline towards research and development in the area of data mining in network security.
关键词：Learning; Intrusion detection; Supervised Learner; Data Mining; Network Security
