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Titel:

Generation and Scan Data for Publication "Target Acquired? Evaluating Target Generation Algorithms for IPv6" at TMA'23

Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
12.06.2023
Verantwortlich:
Steger, Lion
Autorinnen / Autoren:
Steger, Lion; Kuang, Liming; Zirngibl, Johannes; Carle, Georg; Gasser, Oliver
Institutionszugehörigkeit:
TUM; Max Planck Institut für Informatik: Oliver Gasser
Herausgeber:
TUM
Identifikator:
doi:10.14459/2023mp1709953
Enddatum der Datenerzeugung:
27.03.2023
Fachgebiet:
INF Informationswesen, Bibliotheks-, Dokumentations-, Archiv-, Museumswesen
Quellen der Daten:
Experimente und Beobachtungen / experiments and observations; Statistik und Referenzdaten / statistics and reference data
Datentyp:
Texte / texts; Tabellen / tables
Anderer Datentyp:
CSV Data, JSON Data
Beschreibung:
This dataset describes and reproduces the findings presented in the paper "Target Acquired? Evaluating Target Generation Algorithms for IPv6", published at TMA'23.
It contains the scripts for setting up the used Target Generation Algorithms, their inputs and generated candidate sets, their active subsets discovered by our sets and scripts for reproducing our visualizations and results. The data is published in CSV format, the scripts can be found in a Jupyter notebook.
Additional data can b...     »
Links:
IMPORTANT: This data set is missing important scripts for reproducibility.

Please find the files here: https://github.com/tumi8/tma-23-target-generation/

Additional Information: https://ipv6hitlist.github.io/

Schlagworte:
Target Generation Algorithms; IPv6
Technische Hinweise:
View and download (84 GB total, 610 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1709953):
rsync rsync://m1709953@dataserv.ub.tum.de/m1709953/
Sprache:
en
Rechte:
by, http://creativecommons.org/licenses/by/4.0
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