… to outline anomaly detection techniques. In the “Experimenting with machine learning” sections
… and discuss our study on machine learning-based AML/CFT classification methods. The “…

… the bitcoin network and proposes a deep learning-based … of suspicious bitcoin addresses—
the dataset collected for use in … process for identifying anomalous bitcoin transactions using …

… machine-learning model to identify fraudulent transactions … FP is a standard transaction that
is incorrectly detected as … as an alternative to finding the anomalies in the datasets. (3) Multi-…

… On one hand, we examine the state-of-the-art solutions, applications, and future … Detecting
anomalous cryptocurrency transactions: An aml/cft application of machine learning-based …

… to detect and prevent the illegal use of cryptocurrencies for … -Terrorist Financing (AML/CFT)
frameworks highlight the … the flow of transactions and identifying anomalous behaviour. …

… Analysis of the transaction network and the role of clustering … Machine learning-based
approaches to anomaly detection … in the AML/CFT/CPF field by IoM monetary applications – ie, …

… detecting ML patterns, behaviors and anomaly transactions. … bank inward control rules to
the AML/CFT extents. It carries out … NextGen AML: Distributed deep learning based language …

… by software solutions that for crypto transactions are based on … the use of artificial intelligence
to enhance anomaly detection… Some machine learning-based methodologies are deployed …

… use of anomaly detection methods to detect illicit transactions. Illicit transactions are rare
compared to licit transactions in … licit transactions, which account for most transactions, and illicit …

… cryptocurrency trading, we present an Anomaly Detection and Privacy-Preserving (ADPP)
Framework integrating blockchain and deep … and dynamic cryptocurrency transaction networks…