CESNET Idle OS Traffic: A Dataset of Idle Traffic of Various Operating Systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F25%3A10133775" target="_blank" >RIV/63839172:_____/25:10133775 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/25:00386674
Result on the web
<a href="https://ieeexplore.ieee.org/document/11297565" target="_blank" >https://ieeexplore.ieee.org/document/11297565</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/CNSM67658.2025.11297565" target="_blank" >10.23919/CNSM67658.2025.11297565</a>

Result language
angličtina
Original language name
CESNET Idle OS Traffic: A Dataset of Idle Traffic of Various Operating Systems
Original language description
Machine learning methods in networking research critically depend on the availability of high-quality datasets. While several network traffic datasets exist, they typically focus on backbone traffic, intrusion scenarios, or application behavior, containing a mix of many types of traffic. In this paper, we introduce the CESNET Idle OS Traffic dataset. It contains traffic traces of various operating system in the "idle" state, i.e. without any user interaction, captured in a controlled lab environment. The primary intended use of the dataset is to support research of operating system fingerprinting, but it can also be used to enhance dataset for anomaly and intrusion detection, in forensic analysis, or education. We also release the toolset used to create the dataset, which enable researchers to replicate the measurement process or extend the dataset with additional operating systems.
Czech name
—
Czech description
—

Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

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)

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2025 21st International Conference on Network and Service Management (CNSM)
ISBN
978-3-903176-75-1
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
1-6
Publisher name
IEEE
Place of publication
Neuveden
Event location
Bologna, Itálie
Event date
Oct 27, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)