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Title:

Rusty Clusters? Dusting an IPv6 Research Foundation

Document type:
Forschungsdaten
Publication date:
16.09.2022
Responsible:
Zirngibl, Johannes
Authors:
Zirngibl, Johannes; Steger, Lion; Sattler, Patrick; Gasser*, Oliver ; Carle, Georg; Sattler, Patrick
Author affiliation:
TUM ; *Max Planck Institute for Informatics
Publisher:
TUM
Identifier:
doi:10.14459/2022mp1686542
End date of data production:
19.05.2022
Subject area:
DAT Datenverarbeitung, Informatik
Resource type:
Experimente und Beobachtungen / experiments and observations; Statistik und Referenzdaten / statistics and reference data; Logfiles und Nutzungsdaten / log files and usage data; Textdokumente / text documents
Data type:
Texte / texts; Tabellen / tables
Other data type:
CSV Daten und andere Datentypen / CSV data and other data types
Description:
Evaluation and extension of the IPv6 Hitlist service. The data contains measurement input and output files with Jupyter notebooks and scripts used for analyses. It covers detailed analyses of new sources, aliased prefixes and the impact of the Great Firewall of China on the service.
Links:

Additional information, updates to data and tools, and daily IPv6 hitlists can be found at https://ipv6hitlist.github.io

This dataset relates to the publication: https://doi.org/10.1145/3517745.3561440
Technical remarks:
View and download (462 GB total, 6812 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1686542):
rsync rsync://m1686542@dataserv.ub.tum.de/m1686542/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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