Dent-LSTM: hybrid deep learning model for cyber threat detection using improved deep dendritic neural networks and peephole LSTM.
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| Title: | Dent-LSTM: hybrid deep learning model for cyber threat detection using improved deep dendritic neural networks and peephole LSTM. |
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| Authors: | Palakshappa, Anitha1, anithap@msrit.edu, Premkumar, Anitha2, p.anitha@manipal.edu, Poojari, Ashwitha Anni2, ashwitha.a@manipal.edu, Prithviraj3, prithvijain28@gmail.com, Sneha Shetty, R.4, sneha.r@nitte.edu.in |
| Source: | Journal of Computer Virology & Hacking Techniques; 5/25/2026, Vol. 22 Issue 1, p1-18, 18p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 194005899 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=194005899 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11416-026-00624-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 1 Titles: – TitleFull: Dent-LSTM: hybrid deep learning model for cyber threat detection using improved deep dendritic neural networks and peephole LSTM. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Palakshappa, Anitha – PersonEntity: Name: NameFull: Premkumar, Anitha – PersonEntity: Name: NameFull: Poojari, Ashwitha Anni – PersonEntity: Name: NameFull: Prithviraj – PersonEntity: Name: NameFull: Sneha Shetty, R. IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 05 Text: 5/25/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22638733 Numbering: – Type: volume Value: 22 – Type: issue Value: 1 Titles: – TitleFull: Journal of Computer Virology & Hacking Techniques Type: main |
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