A Secure and Privacy-Preserving IoT Cybersecurity Framework Using Feature Selection and Ensemble Deep Learning for Smart City Applications.
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| Title: | A Secure and Privacy-Preserving IoT Cybersecurity Framework Using Feature Selection and Ensemble Deep Learning for Smart City Applications. |
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| Authors: | Alzanin, Samah1, s.alzanin@psau.edu.sa, Alonazi, Mohammed2, mn.alonazi@psau.edu.sa |
| Source: | Engineering, Technology & Applied Science Research; Apr2026, Vol. 16 Issue 2, p33485-33491, 7p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 194189376 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194189376 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.48084/etasr.17472 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 33485 Titles: – TitleFull: A Secure and Privacy-Preserving IoT Cybersecurity Framework Using Feature Selection and Ensemble Deep Learning for Smart City Applications. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alzanin, Samah – PersonEntity: Name: NameFull: Alonazi, Mohammed IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22414487 Numbering: – Type: volume Value: 16 – Type: issue Value: 2 Titles: – TitleFull: Engineering, Technology & Applied Science Research Type: main |
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