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Document type:
Forschungsdaten
Publication date:
28.11.2023
Responsible:
Patrick, Sattler
Authors:
Patrick, Sattler (1); Zirngibl, Johannes (1); Jonker, Mattijs (2); Gasser, Oliver (3); Carle,Georg (1); Holz,Ralph (4)
Author affiliation:
1) Technical University of Munich;
2) University of Twente;
3) Max Planck Institute for Informatics;
4) University of Münster
Publisher:
TUM
Title:
Packed to the Brim: Analyzing Highly Responsive Prefixes on the Internet - Dataset
Identifier:
doi:10.14459/2023mp1723389
End date of data production:
30.09.2022
Subject area:
DAT Datenverarbeitung, Informatik
Resource type:
Experimente und Beobachtungen / experiments and observations
Data type:
Texte / texts; Tabellen / tables
Other data type:
CSV Daten und andere Datentypen / CSV data and other data types
Description:
This dataset contains the evaluation data used as part of our paper “Packed to the Brim: Analyzing Highly Responsive Prefixes on the Internet”.
It includes the port scan data collected during our measurement campaigns. Please refer to https://hrp-stats.github.io for more information on how we used it and how to reproduce our results.
We will also publish continuous HRP datasets for port 80 and 443 on the website.
Method of data assessment:
We provide four different types of data: ZMap port scan data which contains the raw ZMap output of scans performed from Munich, Saarbrücken and Sydney. The date and source location of the scan is encoded in file and directory names.The provided SSL data was obtained using the Goscanner ( https://github.com/tumi8/goscanner ). These measurements where executedon machines located in Munich.
The DNS data conatins statistics of OpenINTEL data.
Finally, the aggregated HRP stats results base on our scan data and onRapid7 port scans ( https://opendata.rapid7.com/sonar.tcp ).
Links:

More information: https://hrp-stats.github.io


This dataset relates to the publication: https://dl.acm.org/doi/10.1145/3629146
Key words:
highly responsive prefix, port scanning, ethical scanning
Technical remarks:
View and download (294 GB total, 630 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1723389):
rsync rsync://m1723389@dataserv.ub.tum.de/m1723389/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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