CESNET-QUIC22: A large one-month QUIC network traffic dataset from backbone lines

The QUIC (Quick UDP Internet Connection) protocol has the potential to replace TLS over TCP, which is the standard choice for reliable and secure Internet communication. Due to its design that makes the inspection of QUIC handshakes challenging and its usage in HTTP/3, there is an increasing demand...

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Autores principales: Luxemburk, Jan, Hynek, Karel, Čejka, Tomáš, Lukačovič, Andrej, Šiška, Pavel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851865/
https://www.ncbi.nlm.nih.gov/pubmed/36687147
http://dx.doi.org/10.1016/j.dib.2023.108888
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author Luxemburk, Jan
Hynek, Karel
Čejka, Tomáš
Lukačovič, Andrej
Šiška, Pavel
author_facet Luxemburk, Jan
Hynek, Karel
Čejka, Tomáš
Lukačovič, Andrej
Šiška, Pavel
author_sort Luxemburk, Jan
collection PubMed
description The QUIC (Quick UDP Internet Connection) protocol has the potential to replace TLS over TCP, which is the standard choice for reliable and secure Internet communication. Due to its design that makes the inspection of QUIC handshakes challenging and its usage in HTTP/3, there is an increasing demand for research in QUIC traffic analysis. This dataset contains one month of QUIC traffic collected in an ISP backbone network, which connects 500 large institutions and serves around half a million people. The data are delivered as enriched flows that can be useful for various network monitoring tasks. The provided server names and packet-level information allow research in the encrypted traffic classification area. Moreover, included QUIC versions and user agents (smartphone, web browser, and operating system identifiers) provide information for large-scale QUIC deployment studies.
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spelling pubmed-98518652023-01-21 CESNET-QUIC22: A large one-month QUIC network traffic dataset from backbone lines Luxemburk, Jan Hynek, Karel Čejka, Tomáš Lukačovič, Andrej Šiška, Pavel Data Brief Data Article The QUIC (Quick UDP Internet Connection) protocol has the potential to replace TLS over TCP, which is the standard choice for reliable and secure Internet communication. Due to its design that makes the inspection of QUIC handshakes challenging and its usage in HTTP/3, there is an increasing demand for research in QUIC traffic analysis. This dataset contains one month of QUIC traffic collected in an ISP backbone network, which connects 500 large institutions and serves around half a million people. The data are delivered as enriched flows that can be useful for various network monitoring tasks. The provided server names and packet-level information allow research in the encrypted traffic classification area. Moreover, included QUIC versions and user agents (smartphone, web browser, and operating system identifiers) provide information for large-scale QUIC deployment studies. Elsevier 2023-01-09 /pmc/articles/PMC9851865/ /pubmed/36687147 http://dx.doi.org/10.1016/j.dib.2023.108888 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Luxemburk, Jan
Hynek, Karel
Čejka, Tomáš
Lukačovič, Andrej
Šiška, Pavel
CESNET-QUIC22: A large one-month QUIC network traffic dataset from backbone lines
title CESNET-QUIC22: A large one-month QUIC network traffic dataset from backbone lines
title_full CESNET-QUIC22: A large one-month QUIC network traffic dataset from backbone lines
title_fullStr CESNET-QUIC22: A large one-month QUIC network traffic dataset from backbone lines
title_full_unstemmed CESNET-QUIC22: A large one-month QUIC network traffic dataset from backbone lines
title_short CESNET-QUIC22: A large one-month QUIC network traffic dataset from backbone lines
title_sort cesnet-quic22: a large one-month quic network traffic dataset from backbone lines
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851865/
https://www.ncbi.nlm.nih.gov/pubmed/36687147
http://dx.doi.org/10.1016/j.dib.2023.108888
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