Standard generative adversarial networks for data augmentation in imbalanced intrusion detection system datasets | Arafat | Russian Technological Journal

Russian Technological Journal
Rossiiskii Tekhnologicheskii Zhurnal

ISSN 2782-3210 (Print)
ISSN 2500-316X (Online)

eng | рус

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Arafat Z., Yudina O.V., Abdulazeez Z. Standard generative adversarial networks for data augmentation in imbalanced intrusion detection system datasets. Russian Technological Journal. 2026;14(3):7-23. https://doi.org/10.32362/2500-316X-2026-14-3-7-23. EDN: CZKEAI

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ISSN 2782-3210 (Print)
ISSN 2500-316X (Online)

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About the Authors

Z. Arafat
University of Kerbala
Iraq

Zaid Arafat, Assistant Lecturer, Department of Cybersecurity

Scopus Author ID 57963547500

Kerbala, 56001

O. V. Yudina
Cherepovets State University
Russian Federation

Olga V. Yudina, Cand.Sci. (Eng.), Associate Professor, Department of Mathematics and Computer Software

5, Lunacharskogo pr., Cherepovets, 162600

Z. A. Abdulazeez
University of Kerbala
Russian Federation

Zainab A. Abdulazeez, Assistant Lecturer, College of Education for Human Sciences

Scopus Author ID 57220186609

Kerbala, 56001

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