EHFOA-ID: An Enhanced HawkFish Optimization-Driven Hybrid Ensemble for IoT Intrusion Detection.
Saved in:
| Title: | EHFOA-ID: An Enhanced HawkFish Optimization-Driven Hybrid Ensemble for IoT Intrusion Detection. |
|---|---|
| Authors: | Alswaid, Ashraf Nadir1 (AUTHOR) 213720515@ogr.altinbas.edu.tr, Uçan, Osman Nuri1 (AUTHOR) |
| Source: | Sensors (14248220). Jan2026, Vol. 26 Issue 1, p198. 31p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: asn DbLabel: Academic Search Ultimate An: 190787602 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: EHFOA-ID: An Enhanced HawkFish Optimization-Driven Hybrid Ensemble for IoT Intrusion Detection. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Alswaid%2C+Ashraf+Nadir%22">Alswaid, Ashraf Nadir</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 213720515@ogr.altinbas.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Uçan%2C+Osman+Nuri%22">Uçan, Osman Nuri</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Sensors+%2814248220%29%22">Sensors (14248220)</searchLink>. Jan2026, Vol. 26 Issue 1, p198. 31p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190787602 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/s26010198 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 198 Titles: – TitleFull: EHFOA-ID: An Enhanced HawkFish Optimization-Driven Hybrid Ensemble for IoT Intrusion Detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alswaid, Ashraf Nadir – PersonEntity: Name: NameFull: Uçan, Osman Nuri IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 14248220 Numbering: – Type: volume Value: 26 – Type: issue Value: 1 Titles: – TitleFull: Sensors (14248220) Type: main |
| ResultId | 1 |