Collection of Datasets with DNS over HTTPS Traffic

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/68407700:21240/22:00358367 RIV/63839172:_____/22:10133480

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Collection of Datasets with DNS over HTTPS Traffic

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Collection of Datasets with DNS over HTTPS Traffic

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/VJ02010024" target="_blank" >VJ02010024: Analýza šifrovaného provozu pomocí síťových toků</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Data in Brief (Online)

ISSN

2352-3409

e-ISSN

—

Svazek periodika

2022

Číslo periodika v rámci svazku

42

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

14

Strana od-do

1-13

Kód UT WoS článku

000834696100020

EID výsledku v databázi Scopus

2-s2.0-85131454929