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http://bura.brunel.ac.uk/handle/2438/27250
Title: | A Secure Deep Autoencoder-based 6G Channel Estimation to Detect/Mitigate Adversarial Attacks |
Authors: | Oleiwi, HW Mhawi, DN Al-Raweshidy, HS |
Keywords: | 6G wireless communication networks;adversarial attacks;artificial intelligence;channel estimation;cybersecurity;deep autoencoder |
Issue Date: | 14-Jun-2023 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Citation: | Oleiwi, H.W., Mhawi, D.N. and Al-Raweshidy, H.S. (2023) 'A Secure Deep Autoencoder-based 6G Channel Estimation to Detect/Mitigate Adversarial Attacks', Proceedings - 2023 IEEE 5th Global Power, Energy and Communication Conference, GPECOM 2023, Nevsehir, Turkiye, 14-16 June, pp. 530 - 535. doi: 10.1109/GPECOM58364.2023.10175718. |
URI: | https://bura.brunel.ac.uk/handle/2438/27250 |
DOI: | https://doi.org/10.1109/GPECOM58364.2023.10175718 |
ISBN: | 979-8-3503-0198-4 (ebk) 979-8-3503-0199-1 (PoD) |
ISSN: | 2832-7667 |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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