Something From Nothing (There): Collecting Global IPv6 Datasets from DNS

Conference Paper (2017)
Author(s)

T. Fiebig (Technical University of Berlin)

Kevin Borgolte (University of California)

Shuang Hao (University of California)

Christopher Kruegel (University of California)

Giovanny Vigna (University of California)

Research Group
Information and Communication Technology
Copyright
© 2017 T. Fiebig, Kevin Borgolte, Shuang Hao, Christopher Kruegel, Giovanni Vigna
DOI related publication
https://doi.org/10.1007/978-3-319-54328-4_3
More Info
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Publication Year
2017
Language
English
Copyright
© 2017 T. Fiebig, Kevin Borgolte, Shuang Hao, Christopher Kruegel, Giovanni Vigna
Research Group
Information and Communication Technology
Pages (from-to)
1-12
ISBN (electronic)
978-3-642-19260-9
Reuse Rights

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Abstract

Current large-scale IPv6 studies mostly rely on non-public datasets, asmost public datasets are domain specific. For instance, traceroute-based datasetsare biased toward network equipment. In this paper, we present a new methodologyto collect IPv6 address datasets that does not require access to restrictednetwork vantage points. We collect a new dataset spanning more than 5.8 millionIPv6 addresses by exploiting DNS’ denial of existence semantics (NXDOMAIN).This paper documents our efforts in obtaining new datasets of allocated IPv6 addresses,so others can avoid the obstacles we encountered.

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