Synthetic dataset generator for anomaly detection in a university environment

This article introduces a recently developed synthetic dataset generator, which contains anonymised data from the Prague University of Economics and Business information system logs. The generator is opensource and is able to scale this data time-wise and also perform injection of the data with cybe...

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Veröffentlicht in:	Intelligent data analysis 2023-01, Vol.27 (2), p.417-422
Hauptverfasser:	Strnad, Pavel, Švarc, Lukáš, Berka, Petr
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anomalies Datasets Synthetic data
Online-Zugang:	Volltext
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