On Unifying Diverse DNS Data Sources

Alfred Arouna; Mattijs Jonker; Ioana Livadariu

doi:10.1145/3517745.3563022

On Unifying Diverse DNS Data Sources

Alfred Arouna
, Mattijs Jonker
, Ioana Livadariu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

The DNS maps human-readable identifiers to computer-friendly identifiers and relies on a reverse tree architecture to achieve this mapping. Backed by economic incentives, the DNS has become increasingly complex with data being shared among multiple autonomous stakeholders. The diversity of autonomous stakeholders limits data collection, access and sharing to researchers. For instance, each of stakeholder controls limited parts of the DNS space, thereby limiting analysis of real-world DNS behaviour. We aim to design and develop a software framework to unify diverse and large-scale public DNS data sources. The platform will facilitate the access to public DNS data by providing an efficient way of processing and analyzing large amounts of distributed data regardless of the DNS data format. Thus, the framework will help enable reproducibility in DNS studies.

Original language	English
Title of host publication	IMC 2022
Subtitle of host publication	Proceedings of the 2022 ACM Internet Measurement Conference, Nice, France, October 25-27, 2022
Place of Publication	New York, NY
Publisher	Association for Computing Machinery
Pages	752-753
Number of pages	2
ISBN (Electronic)	978-1-4503-9259-4
DOIs	https://doi.org/10.1145/3517745.3563022
Publication status	Published - 25 Oct 2022
Event	22nd ACM Internet Measurement Conference, IMC 2022 - Nice, France Duration: 25 Oct 2022 → 27 Oct 2022 Conference number: 22 https://conferences.sigcomm.org/imc/2022/

Conference

Conference	22nd ACM Internet Measurement Conference, IMC 2022
Abbreviated title	IMC 2022
Country/Territory	France
City	Nice
Period	25/10/22 → 27/10/22
Internet address	https://conferences.sigcomm.org/imc/2022/

Keywords

Datasets
DNS
Measurements
Software framework
NLA

Access to Document

10.1145/3517745.3563022

Cite this

@inproceedings{c0c9acd65e4b4e35bfbbc77fefef5ba4,

title = "On Unifying Diverse DNS Data Sources",

abstract = "The DNS maps human-readable identifiers to computer-friendly identifiers and relies on a reverse tree architecture to achieve this mapping. Backed by economic incentives, the DNS has become increasingly complex with data being shared among multiple autonomous stakeholders. The diversity of autonomous stakeholders limits data collection, access and sharing to researchers. For instance, each of stakeholder controls limited parts of the DNS space, thereby limiting analysis of real-world DNS behaviour. We aim to design and develop a software framework to unify diverse and large-scale public DNS data sources. The platform will facilitate the access to public DNS data by providing an efficient way of processing and analyzing large amounts of distributed data regardless of the DNS data format. Thus, the framework will help enable reproducibility in DNS studies.",

keywords = "Datasets, DNS, Measurements, Software framework, NLA",

author = "Alfred Arouna and Mattijs Jonker and Ioana Livadariu",

note = "Publisher Copyright: {\textcopyright} 2022 Copyright held by the owner/author(s).; 22nd ACM Internet Measurement Conference, IMC 2022, IMC 2022 ; Conference date: 25-10-2022 Through 27-10-2022",

year = "2022",

month = oct,

day = "25",

doi = "10.1145/3517745.3563022",

language = "English",

pages = "752--753",

booktitle = "IMC 2022",

publisher = "Association for Computing Machinery",

address = "United States",

url = "https://conferences.sigcomm.org/imc/2022/",

}

On Unifying Diverse DNS Data Sources. / Arouna, Alfred; Jonker, Mattijs; Livadariu, Ioana.
IMC 2022: Proceedings of the 2022 ACM Internet Measurement Conference, Nice, France, October 25-27, 2022. New York, NY: Association for Computing Machinery, 2022. p. 752-753.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - On Unifying Diverse DNS Data Sources

AU - Arouna, Alfred

AU - Jonker, Mattijs

AU - Livadariu, Ioana

N1 - Conference code: 22

PY - 2022/10/25

Y1 - 2022/10/25

N2 - The DNS maps human-readable identifiers to computer-friendly identifiers and relies on a reverse tree architecture to achieve this mapping. Backed by economic incentives, the DNS has become increasingly complex with data being shared among multiple autonomous stakeholders. The diversity of autonomous stakeholders limits data collection, access and sharing to researchers. For instance, each of stakeholder controls limited parts of the DNS space, thereby limiting analysis of real-world DNS behaviour. We aim to design and develop a software framework to unify diverse and large-scale public DNS data sources. The platform will facilitate the access to public DNS data by providing an efficient way of processing and analyzing large amounts of distributed data regardless of the DNS data format. Thus, the framework will help enable reproducibility in DNS studies.

AB - The DNS maps human-readable identifiers to computer-friendly identifiers and relies on a reverse tree architecture to achieve this mapping. Backed by economic incentives, the DNS has become increasingly complex with data being shared among multiple autonomous stakeholders. The diversity of autonomous stakeholders limits data collection, access and sharing to researchers. For instance, each of stakeholder controls limited parts of the DNS space, thereby limiting analysis of real-world DNS behaviour. We aim to design and develop a software framework to unify diverse and large-scale public DNS data sources. The platform will facilitate the access to public DNS data by providing an efficient way of processing and analyzing large amounts of distributed data regardless of the DNS data format. Thus, the framework will help enable reproducibility in DNS studies.

KW - Datasets

KW - DNS

KW - Measurements

KW - Software framework

KW - NLA

UR - https://www.scopus.com/pages/publications/85141391470

U2 - 10.1145/3517745.3563022

DO - 10.1145/3517745.3563022

M3 - Conference contribution

AN - SCOPUS:85141391470

SP - 752

EP - 753

BT - IMC 2022

PB - Association for Computing Machinery

CY - New York, NY

T2 - 22nd ACM Internet Measurement Conference, IMC 2022

Y2 - 25 October 2022 through 27 October 2022

ER -

On Unifying Diverse DNS Data Sources

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this