Generative Adversarial Networks for Robust Anomaly Detection in Noisy IoT Environments

Adel Abusitta, Talal Halabi, Ahmed Saleh Bataineh and Mohammad Zulkernine

Paper (2024)

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Department:	Department of Computer Engineering and Software Engineering
ISBN:	9781728190549
PolyPublie URL:	https://publications.polymtl.ca/59296/
Conference Title:	IEEE International Conference on Communications (ICC 2024)
Conference Location:	Denver, CO, USA
Conference Date(s):	2024-06-09 - 2024-06-13
Publisher:	IEEE
DOI:	10.1109/icc51166.2024.10622882
Official URL:	https://doi.org/10.1109/icc51166.2024.10622882
Date Deposited:	24 Sep 2024 16:18
Last Modified:	08 Apr 2025 14:41

Cite in APA 7:	Abusitta, A., Halabi, T., Bataineh, A. S., & Zulkernine, M. (2024, June). Generative Adversarial Networks for Robust Anomaly Detection in Noisy IoT Environments [Paper]. IEEE International Conference on Communications (ICC 2024), Denver, CO, USA. https://doi.org/10.1109/icc51166.2024.10622882
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