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ČEJKA, T. HYNEK, K. SOUKUP, D. TISOVČÍK, P.
Original Title
Towards Evaluating Quality of Datasets for Network Traffic Domain
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Dataset; Data Quality; Network traffic analysis
Authors
ČEJKA, T.; HYNEK, K.; SOUKUP, D.; TISOVČÍK, P.
Released
20. 12. 2021
Publisher
Institute of Electrical and Electronics Engineers
Location
Izmir
ISBN
978-3-903176-36-2
Book
Proceedings of the 17th International Conference on Network Service Management (CNSM 2021)
Pages from
264
Pages to
268
Pages count
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" }