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.
We would like to acknowledge the generous support that has been provided by Google, the Internet Software Consortium and the RIPE NCC.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Karir, M., Huston, G., Michaelson, G., Bailey, M. (2013). Understanding IPv6 Populations in the Wild. In: Roughan, M., Chang, R. (eds) Passive and Active Measurement. PAM 2013. Lecture Notes in Computer Science, vol 7799. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36516-4_27
Download citation
DOI: https://doi.org/10.1007/978-3-642-36516-4_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36515-7
Online ISBN: 978-3-642-36516-4
eBook Packages: Computer ScienceComputer Science (R0)