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Investigating Sequential Patterns of DNS Usage and Its Applications

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Advanced Data Mining and Applications (ADMA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6440))

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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.

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Author information

Authors and Affiliations

  1. China Network Information Center, Computer Network Information Center, Chinese Academy of Sciences, Beijing, China

    Jun Wu, Xin Wang & Xiaodong Lee

  2. Graduate University of Chinese Academy of Sciences, Beijing, China

    Baoping Yan

Authors
  1. Jun Wu
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  2. Xin Wang
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  3. Xiaodong Lee
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  4. Baoping Yan
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Editor information

Editors and Affiliations

  1. Faculty of Engineering and Information Technology, University of Technology Sydney, 2007, Sydney, NSW, Australia

    Longbing Cao

  2. College of Computer Science, Chongqing University, 400030, Chongqing, China

    Yong Feng

  3. College of Computer Science, Chongqing University , 400030, Chongqing, China

    Jiang Zhong

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© 2010 Springer-Verlag Berlin Heidelberg

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Wu, J., Wang, X., Lee, X., Yan, B. (2010). Investigating Sequential Patterns of DNS Usage and Its Applications. In: Cao, L., Feng, Y., Zhong, J. (eds) Advanced Data Mining and Applications. ADMA 2010. Lecture Notes in Computer Science(), vol 6440. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17316-5_54

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  • DOI: https://doi.org/10.1007/978-3-642-17316-5_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17315-8

  • Online ISBN: 978-3-642-17316-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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