Enhancing IoT Security: A Comparative Analysis of Machine Learning and Deep Learning Techniques for Botnet Detection.
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| Title: | Enhancing IoT Security: A Comparative Analysis of Machine Learning and Deep Learning Techniques for Botnet Detection. |
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| Authors: | Almousa, Omar1, osalmousa@just.edu.jo, Hamdallh, Batool1, brhamdallh21@cit.just.edu.jo, Al-nu'man, Ruba1, rsalnuman21@cit.just.edu.jo |
| Source: | Engineering, Technology & Applied Science Research; Aug2025, Vol. 15 Issue 4, p24498-24505, 8p |
| 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: 187831185 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=187831185 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.48084/etasr.11092 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 24498 Titles: – TitleFull: Enhancing IoT Security: A Comparative Analysis of Machine Learning and Deep Learning Techniques for Botnet Detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Almousa, Omar – PersonEntity: Name: NameFull: Hamdallh, Batool – PersonEntity: Name: NameFull: Al-nu'man, Ruba IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 22414487 Numbering: – Type: volume Value: 15 – Type: issue Value: 4 Titles: – TitleFull: Engineering, Technology & Applied Science Research Type: main |
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