An Efficient Intrusion Detection System to Combat Cyber Threats using a Deep Neural Network Model.
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| Title: | An Efficient Intrusion Detection System to Combat Cyber Threats using a Deep Neural Network Model. |
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| Authors: | Ramaiah, Mangayarkarasi1, rmangayarkarasi@vit.ac.in, Vanmathi, C.1, Khan, Mohammad Zubair2, Vanitha, M.1, Deepa, M.1 |
| Source: | Journal of ICT Research & Applications; 2023, Vol. 17 Issue 3, p292-315, 24p |
| 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: 176577090 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=176577090 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5614/itbj.ict.res.appl.2023.17.3.2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 292 Titles: – TitleFull: An Efficient Intrusion Detection System to Combat Cyber Threats using a Deep Neural Network Model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ramaiah, Mangayarkarasi – PersonEntity: Name: NameFull: Vanmathi, C. – PersonEntity: Name: NameFull: Khan, Mohammad Zubair – PersonEntity: Name: NameFull: Vanitha, M. – PersonEntity: Name: NameFull: Deepa, M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 23375787 Numbering: – Type: volume Value: 17 – Type: issue Value: 3 Titles: – TitleFull: Journal of ICT Research & Applications Type: main |
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