Collection of Datasets with DNS over HTTPS Traffic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F22%3APU144689" target="_blank" >RIV/00216305:26230/22:PU144689 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/22:00358367 RIV/63839172:_____/22:10133480
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2352340922005121" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2352340922005121</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.dib.2022.108310" target="_blank" >10.1016/j.dib.2022.108310</a>
Alternative languages
Result language
angličtina
Original language name
Collection of Datasets with DNS over HTTPS Traffic
Original language description
The DNS over HTTPS (DoH) is becoming a default option for domain resolution in modern privacy-aware software. Therefore, researchers have already focused on various aspects; however, a comprehensive dataset from an actual production network is still missing. This paper presents a collection of novel datasets comprising multiple PCAP files of DoH and HTTPS traffic. The captured traffic is generated towards multiple DoH providers to cover differences of various DoH server implementations and configurations. In addition to generated traffic, we also provide real network traffic captured on high-speed backbone lines of a large Internet Service Provider with around half a million users. Even though the network identifiers (excluding network identifiers of DoH resolvers) in the real network traffic (e.g., IP addresses and transmitted content) were anonymized, the essential characteristics of the traffic can still be obtained from the data. Therefore, the dataset can be used in whole network traffic analysis areas such as traffic classification research.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/VJ02010024" target="_blank" >VJ02010024: Flow-based Encrypted Traffic Analysis</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Data in Brief (Online)
ISSN
2352-3409
e-ISSN
—
Volume of the periodical
2022
Issue of the periodical within the volume
42
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
1-13
UT code for WoS article
000834696100020
EID of the result in the Scopus database
2-s2.0-85131454929