A Time-Frequency Based Suspicious Activity Detection for Anti-Money Laundering

A Time-Frequency Based Suspicious Activity Detection for Anti-Money Laundering

Money laundering is the crucial mechanism utilized by criminals to inject proceeds of crime into the financial system. The primary responsibility of the detection of suspicious activity related to money laundering is with the financial institutions. Most of the current systems in these institutions...

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Bibliographic Details
Main Authors: Utku Gorkem Ketenci, Tolga Kurt, Selim Onal, Cenk Erbil, Sinan Akturkoglu, Hande Serban Ilhan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Anomaly detection
anti-money laundering
compliance
random forest algorithm
time-frequency analysis
transaction monitoring
Online Access:https://ieeexplore.ieee.org/document/9399421/

Internet

https://ieeexplore.ieee.org/document/9399421/

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