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DC Field | Value | Language |
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dc.contributor.author | Hamed, A | - |
dc.contributor.author | Alahmadi, M | - |
dc.contributor.author | Albshr, A | - |
dc.contributor.author | Fakhry, H | - |
dc.contributor.author | Zobaa, AF | - |
dc.contributor.author | Gaber, T | - |
dc.coverage.spatial | Aswan, Egypt | - |
dc.date.accessioned | 2025-10-09T08:00:43Z | - |
dc.date.available | 2025-10-09T08:00:43Z | - |
dc.date.issued | 2025-12-20 | - |
dc.identifier.citation | Hamed, A. et al. (2025) 'PSO-optimized Graph Neural Networks for ransomware detection in smart grids', Proceedings of the 26th International Middle East Power Systems Conference (MEPCON 2025), Aswan, Egypt, 20-22 December, pp. 1 - 6. | en_US |
dc.identifier.issn | 2573-3044 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/32115 | - |
dc.description.abstract | ... | en_US |
dc.format.extent | 1 - 6 | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.rights | Copyright © 2025 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 ( https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ ). | - |
dc.rights.uri | https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ | - |
dc.source | 26th International Middle East Power Systems Conference (MEPCON' 2025) | - |
dc.source | 26th International Middle East Power Systems Conference (MEPCON' 2025) | - |
dc.subject | smart grid cybersecurity | en_US |
dc.subject | ransomware detection | en_US |
dc.subject | graph neural networks (GNNs) | en_US |
dc.subject | particle swarm optimization (PSO) | en_US |
dc.subject | intrusion detection systems | en_US |
dc.title | PSO-optimized Graph Neural Networks for ransomware detection in smart grids | en_US |
dc.type | Conference Paper | en_US |
pubs.finish-date | 2025-12-22 | - |
pubs.finish-date | 2025-12-22 | - |
pubs.publication-status | Accepted | - |
pubs.start-date | 2025-12-20 | - |
pubs.start-date | 2025-12-20 | - |
dc.identifier.eissn | 2994-5747 | - |
dc.rights.holder | Institute of Electrical and Electronics Engineers (IEEE) | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Embargoed Research Papers |
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FullText.pdf | Embargoed until 20 December 2025. Copyright © 2025 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 (see: https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ ). | 665.1 kB | Adobe PDF | View/Open |
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