Presentation 2011-03-01
Classifying DNS heavy hitter by using hierarchical aggregated entropy
Keisuke ISHIBASHI, Kazumichi SATO, Haruhiko NISHIDA,
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Abstract(in English) We introduce the notion of hierarchical aggregate entropy and apply it to identify DNS client hosts that wastefully consume server resources. Entropy of DNS query traffic can capture client query patterns, e.g., the concentration of queries to a specific domain or dispersion to a large domain name space. We calculated the hierarchical aggregate entropies for actual DNS heavy-hitters and observed that the entropies of normal heavy-hitters were concentrated in a specific range. On the basis of this observation, we adopt the support vector machine method to identify the range and to classify DNS heavy-hitters as anomalous or normal. It is shown that with hierarchical aggregate entropy, classification error was halved compared to non-hierarchical entropies. In addition, we analyzed time series variation of the component ratio of heavy-hitters and found a sudden increase of normal heavy-hitters between Mar. and Oct. 2009. We confirmed that one of the major reasons for the increase was the implementation of DNS prefetch in a popular Web browser.
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Keyword(in English) DNS / entropy / prefetch
Paper # SITE2010-67,IA2010-103
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Conference Information
Committee IA
Conference Date 2011/2/21(1days)
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Registration To Internet Architecture(IA)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Classifying DNS heavy hitter by using hierarchical aggregated entropy
Sub Title (in English)
Keyword(1) DNS
Keyword(2) entropy
Keyword(3) prefetch
1st Author's Name Keisuke ISHIBASHI
1st Author's Affiliation NTT Information Sharing Platform Laboratories, NTT Corporation()
2nd Author's Name Kazumichi SATO
2nd Author's Affiliation NTT Information Sharing Platform Laboratories, NTT Corporation
3rd Author's Name Haruhiko NISHIDA
3rd Author's Affiliation NTT Information Sharing Platform Laboratories, NTT Corporation
Date 2011-03-01
Paper # SITE2010-67,IA2010-103
Volume (vol) vol.110
Number (no) 430
Page pp.pp.-
#Pages 6
Date of Issue