Investigating Sequential Patterns of DNS Usage and Its Applications

摘要：

DNS is an important infrastructure of the Internet whose smooth operation and performance are vital to both the Internet users and applications. In this paper, we investigate the DNS usage patterns by applying the mixture of Markov chains (MMC) to DNS usage data. Results on cluster analysis of real DNS query data demonstrate that the method is capable of revealing insightful patterns of sequential activities of DNS users. Furthermore, typical DNS user groups are investigated. Finally, two particular application scenarios of user clustering using this method are proposed, which might help improve the DNS performance by adding plug-ins into the DNS server software.

关键词： DNS mixture of Markov chains maximum likelihood `estimation clustering

作者: Jun Wu Xin Wang Xiaodong Lee Baoping Yan

作者单位: China Network Information Center,Computer Network Information Center Chinese Academy of Sciences Beijing China Graduate University of Chinese Academy of Sciences Beijing China

会议类型: 国际会议

会议名称: 6th International Conference on Advanced Data Mining and Applications(第六届先进数据挖掘及应用国际会议 ADMA 2010)

会议地点: 重庆

会议语种:英文

页码: 565-576

在线出版日期: 2010-11-19（万方平台首次上网日期，不代表论文的发表时间）