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

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

doi:10.1007/978-3-319-54328-4_3

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 volume › Conference contribution › Scientific › peer-review

10 Citations (Scopus)

27 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of Passive and Active Measurement Conference 2018
Editors	Neil Spring, George F. Riley
Publisher	Springer
Pages	1-12
Number of pages	12
ISBN (Electronic)	978-3-642-19260-9
DOIs	https://doi.org/10.1007/978-3-319-54328-4_3
Publication status	Published - 2017
Externally published	Yes
Event	International Conference on Passive and Active Network Measurement - Berlin, Germany Duration: 26 Mar 2018 → 27 Mar 2018

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	10176
ISSN (Print)	0302-9743

Conference

Conference	International Conference on Passive and Active Network Measurement
Abbreviated title	PAM 2018
Country	Germany
City	Berlin
Period	26/03/18 → 27/03/18

Access to Document

10.1007/978-3-319-54328-4_3

pam2017Accepted author manuscript, 486 KBLicence: Unspecified

http://resolver.tudelft.nl/uuid:46788e2f-87e0-4f6f-9703-7c89fd82bd6b

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Cite this

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title = "Something From Nothing (There): Collecting Global IPv6 Datasets from DNS",

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{\textquoteright} 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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publisher = "Springer",

pages = "1--12",

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booktitle = "Proceedings of Passive and Active Measurement Conference 2018",

note = "International Conference on Passive and Active Network Measurement, PAM 2018 ; Conference date: 26-03-2018 Through 27-03-2018",

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Fiebig, T, Borgolte, K, Hao, S, Kruegel, C & Vigna, G 2017, Something From Nothing (There): Collecting Global IPv6 Datasets from DNS. in N Spring & GF Riley (eds), Proceedings of Passive and Active Measurement Conference 2018. Lecture Notes in Computer Science, vol. 10176, Springer, pp. 1-12, International Conference on Passive and Active Network Measurement, Berlin, Germany, 26/03/18. https://doi.org/10.1007/978-3-319-54328-4_3

Something From Nothing (There): Collecting Global IPv6 Datasets from DNS. / Fiebig, Tobias; Borgolte, Kevin; Hao, Shuang; Kruegel, Christopher; Vigna, Giovanni.

Proceedings of Passive and Active Measurement Conference 2018. ed. / Neil Spring; George F. Riley. Springer, 2017. p. 1-12 ( Lecture Notes in Computer Science; Vol. 10176).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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