Attack detection in internet of things networks with deep learning using deep transfer learning method.
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| Title: | Attack detection in internet of things networks with deep learning using deep transfer learning method. |
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| Authors: | Hasanuddin, Riki Abdillah1, riki.abdillah@outlook.com, Subali, Muhammad2, subali@uca.ac.id |
| Source: | Computer Science & Information Technologies; Jul2025, Vol. 6 Issue 2, p202-213, 12p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 187732374 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Attack detection in internet of things networks with deep learning using deep transfer learning method. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Hasanuddin%2C+Riki+Abdillah%22">Hasanuddin, Riki Abdillah</searchLink><relatesTo>1</relatesTo>, <i>riki.abdillah@outlook.com</i><br /><searchLink fieldCode="AU" term="%22Subali%2C+Muhammad%22">Subali, Muhammad</searchLink><relatesTo>2</relatesTo>, <i>subali@uca.ac.id</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer+Science+%26+Information+Technologies%22">Computer Science & Information Technologies</searchLink>; Jul2025, Vol. 6 Issue 2, p202-213, 12p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187732374 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.11591/csit.v6i2.p202-213 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 202 Titles: – TitleFull: Attack detection in internet of things networks with deep learning using deep transfer learning method. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hasanuddin, Riki Abdillah – PersonEntity: Name: NameFull: Subali, Muhammad IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 2722323X Numbering: – Type: volume Value: 6 – Type: issue Value: 2 Titles: – TitleFull: Computer Science & Information Technologies Type: main |
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