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Authors: Laurens D’hooge ; Miel Verkerken ; Tim Wauters ; Filip De Turck and Bruno Volckaert

Affiliation: IDLab-Imec, Department of Information Technology, Ghent University, Technologiepark-Zwijnaarde 126, 9052 Ghent, Belgium

Keyword(s): Machine Learning, Cybersecurity, Data Quality Issues, Baselines.

Abstract: Machine learning (ML) has been a staple of academic research into pattern recognition in many fields, including cybersecurity. The momentum of ML continues to speed up alongside the advances in hardware capabilities and the methods they unlock, primarily (deep) neural networks. However, this article aims to demonstrate that the non-judicious use of ML in two prominent domains of data-based cybersecurity consistently misleads researchers into believing that their proposed methods constitute actual improvements. Armed with 17 state-of-the-art datasets in traffic and malware classification and the simplest possible machine learning model this article will show that the lack of variability in most of these datasets immediately leads to excellent models, even if that model is only one comparison per feature.

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Paper citation in several formats:
D’hooge, L.; Verkerken, M.; Wauters, T.; De Turck, F. and Volckaert, B. (2023). Castles Built on Sand: Observations from Classifying Academic Cybersecurity Datasets with Minimalist Methods. In Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-643-9; ISSN 2184-4976, SciTePress, pages 61-72. DOI: 10.5220/0011853300003482

@conference{iotbds23,
author={Laurens D’hooge. and Miel Verkerken. and Tim Wauters. and Filip {De Turck}. and Bruno Volckaert.},
title={Castles Built on Sand: Observations from Classifying Academic Cybersecurity Datasets with Minimalist Methods},
booktitle={Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2023},
pages={61-72},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011853300003482},
isbn={978-989-758-643-9},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Castles Built on Sand: Observations from Classifying Academic Cybersecurity Datasets with Minimalist Methods
SN - 978-989-758-643-9
IS - 2184-4976
AU - D’hooge, L.
AU - Verkerken, M.
AU - Wauters, T.
AU - De Turck, F.
AU - Volckaert, B.
PY - 2023
SP - 61
EP - 72
DO - 10.5220/0011853300003482
PB - SciTePress

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