Financial Cybercrime: A Comprehensive Survey of Deep Learning Approaches to Tackle the Evolving Financial Crime Landscape
Title: | Financial Cybercrime: A Comprehensive Survey of Deep Learning Approaches to Tackle the Evolving Financial Crime Landscape |
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Authors: | Nicholls, J., Kuppa, A., Le-Khac, N. |
Source: | IEEE Access Access, IEEE. 9:163965-163986 2021 |
Database: | IEEE Xplore Digital Library |
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RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/ACCESS.2021.3134076 PhysicalDescription: Pagination: PageCount: 22 StartPage: 163965 Titles: – TitleFull: Financial Cybercrime: A Comprehensive Survey of Deep Learning Approaches to Tackle the Evolving Financial Crime Landscape Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nicholls, J. – PersonEntity: Name: NameFull: Kuppa, A. – PersonEntity: Name: NameFull: Le-Khac, N. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 21693536 – Type: issn-locals Value: edseee.IEEEJournals Numbering: – Type: volume Value: 9 Titles: – TitleFull: IEEE Access, Access, IEEE Type: main |
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