Increasing Detection Rate for Imbalanced Malicious Traffic using Generative Adversarial Networks

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SEEK ID: https://publications.h-its.org/publications/1997

SEEK ID: https://publications.h-its.org/publications/1997

DOI: 10.1145/3655693.3655703

Research Groups: Data Mining and Uncertainty Quantification

Publication type: Journal

Journal: European Interdisciplinary Cybersecurity Conference

Book Title: European Interdisciplinary Cybersecurity Conference

Editors: Shujun Li and Kovila Coopamootoo and Michael Sirivianos

Publisher: ACM

Citation: European Interdisciplinary Cybersecurity Conference,pp.74-81,ACM

Date Published: 5th Jun 2024

Registered Mode: by DOI

Authors: Pascal Memmesheimer, Stefan Machmeier, Vincent Heuveline

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Citation
Memmesheimer, P., Machmeier, S., & Heuveline, V. (2024). Increasing Detection Rate for Imbalanced Malicious Traffic using Generative Adversarial Networks. In European Interdisciplinary Cybersecurity Conference (pp. 74–81). ACM. https://doi.org/10.1145/3655693.3655703
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Created: 30th Jan 2025 at 15:13

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