Detail publikace

Towards Evaluating Quality of Datasets for Network Traffic Domain

ČEJKA, T. HYNEK, K. SOUKUP, D. TISOVČÍK, P.

Originální název

Towards Evaluating Quality of Datasets for Network Traffic Domain

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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.

Klíčová slova

Dataset; Data Quality; Network traffic analysis

Autoři

ČEJKA, T.; HYNEK, K.; SOUKUP, D.; TISOVČÍK, P.

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"
}