CESNET-USTS23: a benchmark dataset of Unevenly spaced time series from network traffic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F23%3A10133862" target="_blank" >RIV/63839172:_____/23:10133862 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5281/zenodo.7923745" target="_blank" >http://dx.doi.org/10.5281/zenodo.7923745</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5281/zenodo.7923745" target="_blank" >10.5281/zenodo.7923745</a>
Alternative languages
Result language
angličtina
Original language name
CESNET-USTS23: a benchmark dataset of Unevenly spaced time series from network traffic
Original language description
This dataset was created to evaluate characteristics of Unevenly sampled time series from network traffic (USTS) for the paper Unevenly Spaced Time Series from Network Traffic.
Czech name
—
Czech description
—
Classification
Type
O - Miscellaneous
CEP classification
—
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
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů