Detecting anomalous cryptocurrency transactions: An AML/CFT application of machine learning-based fo...
Detecting anomalous cryptocurrency transactions: An AML/CFT application of machine learning-based forensics
About this item
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Author / Creator
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
In shaping the Internet of Money, the application of blockchain and distributed ledger technologies (DLTs) to the financial sector triggered regulatory concerns. Notably, while the user anonymity enabled in this field may safeguard privacy and data protection, the lack of identifiability hinders accountability and challenges the fight against money...
Alternative Titles
Full title
Detecting anomalous cryptocurrency transactions: An AML/CFT application of machine learning-based forensics
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Record Identifier
TN_cdi_proquest_journals_2842296060
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2842296060
Other Identifiers
ISSN
1019-6781
E-ISSN
1422-8890
DOI
10.1007/s12525-023-00654-3
