Interactive Multi-View Visualization for Fraud Detection in Mobile Money Transfer Services

Mobile money transfer services (MMTS) have gained a solid market segment and are widely used for domestic and international money transfers. Like traditional financial systems they can be used to conduct illegal financial activity including money laundering or usage of malicious software to gain access to mobile money. The paper considers an interactive multi-view approach for detection of the fraudulent activity in the MMTS. It considers a set of visualization techniques enabling comprehensive analysis of the behavior of the MMTS subscriber according to his/her transaction activity. The authors suggest a metaphoric visualization of the MMTS users' behavior based on RadViz visualization that is able to identify groups with similar behavior and outliers. They demonstrate how the proposed approach can be used to reveal money laundering scenarios, behavior frauds, present and discuss the results of the efficiency evaluation of the visualization techniques used to detect fraudulent activity.