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Detail publikačního výsledku
ČEJKA, T.; HYNEK, K.; SOUKUP, D.; TISOVČÍK, P.
Originální název
Towards Evaluating Quality of Datasets for Network Traffic Domain
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
This paper deals with the quality of network traffic datasets created to train and validate machine learning classification and detection methods. Naturally, there is a long epoch of research targeted at data quality; however, it is focused mainly on data consistency, validity, precision, and other metrics, which are insufficient for network traffic use-cases. The rise of Machine learning usage in network monitoring applications requires a new methodology for evaluation datasets. There is a need to evaluate and compare traffic samples captured at different conditions and decide the usability of the already captured and annotated data. This paper aims to explain a use case of dataset creation, propose definitions regarding the quality of the network traffic datasets, and finally, describe a framework for datasets analysis.
Anglický abstrakt
Klíčová slova
Dataset; Data Quality; Network traffic analysis
Klíčová slova v angličtině
Autoři
Rok RIV
2023
Vydáno
20.12.2021
Nakladatel
Institute of Electrical and Electronics Engineers
Místo
Izmir
ISBN
978-3-903176-36-2
Kniha
Proceedings of the 17th International Conference on Network Service Management (CNSM 2021)
Strany od
264
Strany do
268
Strany počet
5
URL
https://ieeexplore.ieee.org/abstract/document/9615601
BibTex
@inproceedings{BUT182953, author="Tomáš {Čejka} and Karel {Hynek} and Dominik {Soukup} and Peter {Tisovčík}", title="Towards Evaluating Quality of Datasets for Network Traffic Domain", booktitle="Proceedings of the 17th International Conference on Network Service Management (CNSM 2021)", year="2021", pages="264--268", publisher="Institute of Electrical and Electronics Engineers", address="Izmir", doi="10.23919/CNSM52442.2021.9615601", isbn="978-3-903176-36-2", url="https://ieeexplore.ieee.org/abstract/document/9615601" }