Hierarchical Classification of Botnet Using Lightweight CNN.
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| Title: | Hierarchical Classification of Botnet Using Lightweight CNN. |
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| Authors: | Negera, Worku Gachena1, worku.gachena2@gmail.com, Schwenker, Friedhelm2, friedhelm.schwenker@uni-ulm.de, Feyisa, Degaga Wolde3, degagawolde@gmail.com, Debelee, Taye Girma3,4, tayegirma@gmail.com, Melaku, Henock Mulugeta1, henock.mulugeta@aait.edu.et |
| Source: | Applied Sciences (2076-3417); May2024, Vol. 14 Issue 10, p3966, 16p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 177458707 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Hierarchical Classification of Botnet Using Lightweight CNN. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Negera%2C+Worku+Gachena%22">Negera, Worku Gachena</searchLink><relatesTo>1</relatesTo>, <i>worku.gachena2@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Schwenker%2C+Friedhelm%22">Schwenker, Friedhelm</searchLink><relatesTo>2</relatesTo>, <i>friedhelm.schwenker@uni-ulm.de</i><br /><searchLink fieldCode="AU" term="%22Feyisa%2C+Degaga+Wolde%22">Feyisa, Degaga Wolde</searchLink><relatesTo>3</relatesTo>, <i>degagawolde@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Debelee%2C+Taye+Girma%22">Debelee, Taye Girma</searchLink><relatesTo>3,4</relatesTo>, <i>tayegirma@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Melaku%2C+Henock+Mulugeta%22">Melaku, Henock Mulugeta</searchLink><relatesTo>1</relatesTo>, <i>henock.mulugeta@aait.edu.et</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; May2024, Vol. 14 Issue 10, p3966, 16p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=177458707 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app14103966 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 3966 Titles: – TitleFull: Hierarchical Classification of Botnet Using Lightweight CNN. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Negera, Worku Gachena – PersonEntity: Name: NameFull: Schwenker, Friedhelm – PersonEntity: Name: NameFull: Feyisa, Degaga Wolde – PersonEntity: Name: NameFull: Debelee, Taye Girma – PersonEntity: Name: NameFull: Melaku, Henock Mulugeta IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 14 – Type: issue Value: 10 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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