Understanding IPv6 populations in the wild

Manish Karir, Geoff Huston, George Michaelson, Michael Bailey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the global exhaustion of the IPv4 address pool, there has been significant interest in understanding the adoption of IPv6. Previous studies have shown that IPv6 traffic continues to be a very small fraction of the overall total traffic in any network, but its use is gradually increasing. Utilizing a novel display advertising approach to reach behind NAT and other firewall devices, we engage in a seven-month study of IPv6 in which we observe 14M unique IPv6 addresses including native IPv6, teredo, as well as 6to4. We exploit the intrinsic information within IPv6 addresses in order to infer IPv6 properties, such as, coarse grained geographic location, ISPs, the use of native IPv6 versus transition techniques, cone NAT usage, and even network interface manufacturer identifiers. We find that while the number of native IPV6 addresses in the wild is small (1.3%) a large number of IPv6 hosts are IPv6 capable via transition techniques such as teredo and 6to4.

Original languageEnglish (US)
Title of host publicationPassive and Active Measurement - 14th International Conference, PAM 2013, Proceedings
PublisherSpringer
Pages256-259
Number of pages4
ISBN (Print)9783642365157
DOIs
StatePublished - 2013
Externally publishedYes
Event14th International Conference on Passive and Active Measurement, PAM 2013 - Hong Kong, China
Duration: Mar 18 2013Mar 19 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7799 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on Passive and Active Measurement, PAM 2013
Country/TerritoryChina
CityHong Kong
Period3/18/133/19/13

Keywords

  • 6to4
  • EUI-64
  • IPv6
  • Teredo
  • Transition

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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