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

Tobias Fiebig, Kevin Borgolte, Shuang Hao, Christopher Kruegel, Giovanni Vigna

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

10 Citations (Scopus)
27 Downloads (Pure)


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.
Original languageEnglish
Title of host publicationProceedings of Passive and Active Measurement Conference 2018
EditorsNeil Spring, George F. Riley
Number of pages12
ISBN (Electronic)978-3-642-19260-9
Publication statusPublished - 2017
Externally publishedYes
EventInternational Conference on Passive and Active Network Measurement - Berlin, Germany
Duration: 26 Mar 201827 Mar 2018

Publication series

Name Lecture Notes in Computer Science
ISSN (Print)0302-9743


ConferenceInternational Conference on Passive and Active Network Measurement
Abbreviated titlePAM 2018

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