Encrypted traffic classification: the QUIC case

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F23%3A10133605" target="_blank" >RIV/63839172:_____/23:10133605 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/23:00367475
Result on the web
<a href="https://ieeexplore.ieee.org/document/10199052" target="_blank" >https://ieeexplore.ieee.org/document/10199052</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/TMA58422.2023.10199052" target="_blank" >10.23919/TMA58422.2023.10199052</a>

Result language
angličtina
Original language name
Encrypted traffic classification: the QUIC case
Original language description
The QUIC protocol is a new reliable and secure transport protocol that is an alternative to TLS over TCP. However, compared to TLS, QUIC obfuscates the connection hand-shake and the server name indication domain, making a simple inspection more challenging. The classification of QUIC traffic has also received less attention than that of TLS. In this work, we present a comprehensive study aiming to explore the challenges of QUIC traffic classification. We selected three models: 1) multi-modal CNN, 2) LighGBM, and 3) IP-based classifier, and evaluated their properties using a large one-month CESNET-QUIC22 dataset with 102 web service labels. The developed classifiers reached up to 88% accuracy and set the new baseline in fine-grained QUIC service classification. Moreover, the real nature of the dataset and its long time span allowed us to collect a number of insights and measure the classifiers' performance in the presence of data drift.
Czech name
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Czech description
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Project
<a href="/en/project/VJ02010024" target="_blank" >VJ02010024: Flow-based Encrypted Traffic Analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Network Traffic Measurement and Analysis Conference (TMA), 2023 7th
ISBN
978-3-903176-58-4
ISSN
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e-ISSN
—
Number of pages
10
Pages from-to
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Publisher name
IEEE
Place of publication
Piscataway , USA
Event location
Napoli, Itálie
Event date
Jun 26, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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