Moth flame optimization algorithm for efficient feature selection and hybrid classification technique for intrusion detection system.
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| Title: | Moth flame optimization algorithm for efficient feature selection and hybrid classification technique for intrusion detection system. |
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| Authors: | Keerthanarani, U.1, Selvakumar, V.1, selvakumarv@psr.edu.in, Singaravelan, S.1, Raja, S. Edwin2, Thenmozhi, K.3, Shunmugam, D. Arun4 |
| Source: | Multimedia Tools & Applications; Oct2025, Vol. 84 Issue 35, p44405-44425, 21p |
| Database: | Applied Science & Technology Source |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 188906111 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=188906111 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-025-20779-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 44405 Titles: – TitleFull: Moth flame optimization algorithm for efficient feature selection and hybrid classification technique for intrusion detection system. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Keerthanarani, U. – PersonEntity: Name: NameFull: Selvakumar, V. – PersonEntity: Name: NameFull: Singaravelan, S. – PersonEntity: Name: NameFull: Raja, S. Edwin – PersonEntity: Name: NameFull: Thenmozhi, K. – PersonEntity: Name: NameFull: Shunmugam, D. Arun IsPartOfRelationships: – BibEntity: Dates: – D: 28 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 84 – Type: issue Value: 35 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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