CESNET-TLS-Year22: A year-spanning TLS network traffic dataset from backbone lines
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
CESNET-TLS-Year22: A year-spanning TLS network traffic dataset from backbone lines
Popis výsledku v původním jazyce
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
Název v anglickém jazyce
CESNET-TLS-Year22: A year-spanning TLS network traffic dataset from backbone lines
Popis výsledku anglicky
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
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/VJ02010024" target="_blank" >VJ02010024: Analýza šifrovaného provozu pomocí síťových toků</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů