CESNET-CC25: Dataset for detection of C&C communication of botnets in the periodic behavior features from multiflow time series format
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F25%3A10133855" target="_blank" >RIV/63839172:_____/25:10133855 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
CESNET-CC25: Dataset for detection of C&C communication of botnets in the periodic behavior features from multiflow time series format
Original language description
We introduce a novel dataset, CESNET-CC25, specifically designed to capture up-to-date botnet C&C traffic patterns to address these shortcomings. This dataset provides a richer and more representative collection of contemporary threats, enabling more reliable evaluation of detection methods against modern botnet behaviors, including decentralized architectures and encrypted communications.
Czech name
—
Czech description
—
Classification
Type
X - Unclassified
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/LM2023054" target="_blank" >LM2023054: e-Infrastructure CZ</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů