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Journal of Artificial Intelligence and Soft Computing Research
Volume 12 (2022): Issue 4 (October 2022)
Open Access
Detecting Anomalies in Advertising Web Traffic with the Use of the Variational Autoencoder
Marcin Gabryel
Marcin Gabryel
,
Dawid Lada
Dawid Lada
,
Zbigniew Filutowicz
Zbigniew Filutowicz
,
Zofia Patora-Wysocka
Zofia Patora-Wysocka
,
Marek Kisiel-Dorohinicki
Marek Kisiel-Dorohinicki
and
Guang Yi Chen
Guang Yi Chen
| Oct 29, 2022
Journal of Artificial Intelligence and Soft Computing Research
Volume 12 (2022): Issue 4 (October 2022)
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Published Online:
Oct 29, 2022
Page range:
255 - 256
Received:
Apr 02, 2022
Accepted:
Oct 12, 2022
DOI:
https://doi.org/10.2478/jaiscr-2022-0017
Keywords
anomaly detection
,
web traffic
,
ad fraud
,
variational autoencoder
© 2022 Marcin Gabryel et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Marcin Gabryel
Department of Intelligent Computer Systems, Częstochowa University of Technology
Częstochowa, Poland
Dawid Lada
Spark Digitup
Krakow, Poland
Zbigniew Filutowicz
Institute of Information Technologies University of Social Sciences
Lodz
Zofia Patora-Wysocka
Management Department, University of Social Science
Lodz, Poland
Marek Kisiel-Dorohinicki
Institute of Computer Science AGH University of Science and Technology
Krakow, Poland
Guang Yi Chen
Department of Computer Science and Software Engineering Concordia University,
Canada