Deep learning for intrusion detection in emerging technologies: a comprehensive survey and new perspectives.
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| Title: | Deep learning for intrusion detection in emerging technologies: a comprehensive survey and new perspectives. |
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| Authors: | Neto, Euclides Carlos Pinto1, EuclidesCarlos.PintoNeto@nrc-cnrc.gc.ca, Iqbal, Shahrear1, Shahrear.Iqbal@nrc-cnrc.gc.ca, Buffett, Scott1, Scott.Buffett@nrc-cnrc.gc.ca, Sultana, Madeena2, Madeena.Sultana@ecn.forces.gc.ca, Taylor, Adrian2, Adrian.Taylor@forces.gc.ca |
| Source: | Artificial Intelligence Review; Nov2025, Vol. 58 Issue 11, p1-63, 63p |
| 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: 187436286 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep learning for intrusion detection in emerging technologies: a comprehensive survey and new perspectives. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Neto%2C+Euclides+Carlos+Pinto%22">Neto, Euclides Carlos Pinto</searchLink><relatesTo>1</relatesTo>, <i>EuclidesCarlos.PintoNeto@nrc-cnrc.gc.ca</i><br /><searchLink fieldCode="AU" term="%22Iqbal%2C+Shahrear%22">Iqbal, Shahrear</searchLink><relatesTo>1</relatesTo>, <i>Shahrear.Iqbal@nrc-cnrc.gc.ca</i><br /><searchLink fieldCode="AU" term="%22Buffett%2C+Scott%22">Buffett, Scott</searchLink><relatesTo>1</relatesTo>, <i>Scott.Buffett@nrc-cnrc.gc.ca</i><br /><searchLink fieldCode="AU" term="%22Sultana%2C+Madeena%22">Sultana, Madeena</searchLink><relatesTo>2</relatesTo>, <i>Madeena.Sultana@ecn.forces.gc.ca</i><br /><searchLink fieldCode="AU" term="%22Taylor%2C+Adrian%22">Taylor, Adrian</searchLink><relatesTo>2</relatesTo>, <i>Adrian.Taylor@forces.gc.ca</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Nov2025, Vol. 58 Issue 11, p1-63, 63p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187436286 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-025-11346-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 63 StartPage: 1 Titles: – TitleFull: Deep learning for intrusion detection in emerging technologies: a comprehensive survey and new perspectives. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Neto, Euclides Carlos Pinto – PersonEntity: Name: NameFull: Iqbal, Shahrear – PersonEntity: Name: NameFull: Buffett, Scott – PersonEntity: Name: NameFull: Sultana, Madeena – PersonEntity: Name: NameFull: Taylor, Adrian IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 58 – Type: issue Value: 11 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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