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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27250
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dc.contributor.authorOleiwi, HW-
dc.contributor.authorMhawi, DN-
dc.contributor.authorAl-Raweshidy, HS-
dc.coverage.spatialNevsehir, Turkiye-
dc.date.accessioned2023-09-26T09:07:19Z-
dc.date.available2023-09-26T09:07:19Z-
dc.date.issued2023-06-14-
dc.identifier.citationOleiwi, 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.en_US
dc.identifier.isbn979-8-3503-0198-4 (ebk)-
dc.identifier.isbn979-8-3503-0199-1 (PoD)-
dc.identifier.issn2832-7667-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/27250-
dc.format.extent530 - 535-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2023 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works by sending a request to pubs-permissions@ieee.org. See https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ for more information-
dc.rights.urihttps://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ for more information-
dc.rights.uriInstitute of Electrical and Electronics Engineers (IEEE)-
dc.source5th Global Power, Energy and Communication Conference (IEEE GPECOM2023)-
dc.source5th Global Power, Energy and Communication Conference (IEEE GPECOM2023)-
dc.subject6G wireless communication networksen_US
dc.subjectadversarial attacksen_US
dc.subjectartificial intelligenceen_US
dc.subjectchannel estimationen_US
dc.subjectcybersecurityen_US
dc.subjectdeep autoencoderen_US
dc.titleA Secure Deep Autoencoder-based 6G Channel Estimation to Detect/Mitigate Adversarial Attacksen_US
dc.typeConference Paperen_US
dc.identifier.doihttps://doi.org/10.1109/GPECOM58364.2023.10175718-
dc.relation.isPartOfProceedings - 2023 IEEE 5th Global Power, Energy and Communication Conference, GPECOM 2023-
pubs.finish-date2023-06-16-
pubs.finish-date2023-06-16-
pubs.publication-statusPublished-
pubs.start-date2023-06-14-
pubs.start-date2023-06-14-
dc.identifier.eissn2832-7675-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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