CESNET-TLS-Year22: A year-spanning TLS network traffic dataset from backbone lines
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F24%3A10133863" target="_blank" >RIV/63839172:_____/24:10133863 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5281/zenodo.10608607" target="_blank" >http://dx.doi.org/10.5281/zenodo.10608607</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5281/zenodo.10608607" target="_blank" >10.5281/zenodo.10608607</a>
Alternative languages
Result language
angličtina
Original language name
CESNET-TLS-Year22: A year-spanning TLS network traffic dataset from backbone lines
Original language description
The modern approach for network traffic classification (TC), which is an important part of operating and securing networks, is to use machine learning (ML) models that are able to learn intricate relationships between traffic characteristics and communicating applications. A crucial prerequisite is having representative datasets. However, datasets collected from real production networks are not being published in sufficient numbers. CESNET-TLS-Year22 captures the evolution of TLS traffic in an ISP network over a year. The dataset contains 180 web service labels and standard TC features, such as packet sequences. The unique year-long time span enables comprehensive evaluation of TC models and assessment of their robustness in the face of the ever-changing environment of production networks
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
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
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů