A dual-layer deep learning model for parallel analysis of URL and HTML features in phishing website detection.
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| Title: | A dual-layer deep learning model for parallel analysis of URL and HTML features in phishing website detection. |
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| Authors: | Birthriya, Santosh Kumar1, cs.santosh2020@gmail.com, Ahlawat, Priyanka1, priyankaahlawat@nitkkr.ac.in, Jain, Ankit Kumar1, ankitjain@nitkkr.ac.in |
| Source: | Knowledge & Information Systems; 12/15/2025, Vol. 68 Issue 1, p1-27, 27p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 190277041 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=190277041 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10115-025-02617-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 1 Titles: – TitleFull: A dual-layer deep learning model for parallel analysis of URL and HTML features in phishing website detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Birthriya, Santosh Kumar – PersonEntity: Name: NameFull: Ahlawat, Priyanka – PersonEntity: Name: NameFull: Jain, Ankit Kumar IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 12 Text: 12/15/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02191377 Numbering: – Type: volume Value: 68 – Type: issue Value: 1 Titles: – TitleFull: Knowledge & Information Systems Type: main |
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