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Detecting Anomalous Cryptocurrency Transactions: an AML/CFT Application of Machine Learning-based Forensics. (arXiv:2206.04803v2 [cs.CR] UPDATED)
cs.CR updates on arXiv.org arxiv.org
In shaping the Internet of Money (IoM), 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, data protection and other civil liberties, lack of
identifiability hinders accountability, investigation and enforcement. This
challenges the framework to combat money laundering and the financing of
terrorism and proliferation (AML/CFT). As both law enforcement agencies and the
private sector apply forensics to track currency across …
aml application cryptocurrency forensics machine machine learning