Investigating Sequential Patterns of DNS Usage and Its Applications

被引：0
|
作者：
Wu, Jun [1 ]
Wang, Xin [1 ]
Lee, Xiaodong [1 ]
Yan, Baoping [1 ]
机构：
[1] Chinese Acad Sci, Comp Network Informat Ctr, China Network Informat Ctr, Beijing, Peoples R China
来源：
ADVANCED DATA MINING AND APPLICATIONS, ADMA 2010, PT I | 2010年 / 6440卷
关键词：
DNS; mixture of Markov chains; maximum likelihood estimation; clustering;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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.
引用
收藏
页码：565 / 576
页数：12
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