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Titel:

ECSeptional DNS Data: Evaluating Nameserver ECS Deployments with Response-Aware Scanning - ECS Scan Results

Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
29.04.2025
Verantwortlich:
Patrick, Sattler
Autorinnen / Autoren:
Sattler, Patrick (1); Zirngibl, Johannes (2); Hilal, Fahad (2); Gasser, Oliver (3); Vermeulen, Kevin (4); Carle, Georg (1); Jonker, Mattijs (5)
Institutionszugehörigkeit:
1. Technical University of Munich
2. Max Planck Institute for Informatics
3. IPinfo
4. LIX - CNRS - Ecole Polytechnique
5. University of Twente
Herausgeber:
TUM
Identifikator:
doi:10.14459/2025mp1779517
Enddatum der Datenerzeugung:
01.12.2024
Fachgebiet:
DAT Datenverarbeitung, Informatik
Quellen der Daten:
Experimente und Beobachtungen / experiments and observations
Datentyp:
Tabellen / tables
Methode der Datenerhebung:
We used our ECS scanner ECSplorer [1] to obtain all data within this dataset. Find more instructions on how to use the scanner inside its description.
[1] https://github.com/tumi8/ecsplorer
Beschreibung:
DNS is one of the cornerstones of the Internet. Nowadays, a substantial fraction of DNS queries are handled by public resolvers (e.g., Google Public DNS and Cisco’s OpenDNS) rather than ISP nameservers. This behavior makes it difficult for authoritative nameservers to provide answers based on the requesting resolver. The impact is especially important for entities that make client origin inferences to perform DNS-based load balancing (e.g., CDNS). The EDNS0 Client Subnet (ECS) option adds the client’s IP prefix to DNS queries, which allows authoritative nameservers to provide prefix-based responses. Previous work showed the potential of data collected during ECS scans. Infrastructure can be uncovered and subnet specific behavior of operators can be observed.
In the study "ECSeptional DNS Data: Evaluating Nameserver ECS Deployments with Response-Aware Scanning", we introduce a new method for conducting ECS scans, which provides insights into ECS behavior and significantly reduces the required number of queries by up to 97 % compared to state-of-the-art techniques.
This dataset includes scan results used in the evaluation of our paper.
Links:
This dataset relates to the publication: https://doi.org/10.1145/3730977
Schlagworte:
DNS; EDNS Client Subnet extension; infrastructure uncovering
Technische Hinweise:
View and download (7.6 GB total, 15729 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1779517):
rsync rsync://m1779517@dataserv.ub.tum.de/m1779517/
Sprache:
en
Rechte:
by, http://creativecommons.org/licenses/by/4.0
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