Investigating sequential patterns of DNS usage and its applications

  • Authors:

  • Jun Wu;Xin Wang;Xiaodong Lee;Baoping Yan

  • Affiliations:

  • China Network Information Center, Computer Network Information Center, Chinese Academy of Sciences, Beijing, China and Graduate University of Chinese Academy of Sciences, Beijing, China;China Network Information Center, Computer Network Information Center, Chinese Academy of Sciences, Beijing, China and Graduate University of Chinese Academy of Sciences, Beijing, China;China Network Information Center, Computer Network Information Center, Chinese Academy of Sciences, Beijing, China and Graduate University of Chinese Academy of Sciences, Beijing, China;China Network Information Center, Computer Network Information Center, Chinese Academy of Sciences, Beijing, China and Graduate University of Chinese Academy of Sciences, Beijing, China

  • Venue:
  • ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.