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Visual Analytics for Detecting Anomalous Activity in Mobile Money Transfer Services

Abstract : Mobile money transfer services (MMTS) are currently being deployed in many markets across the world and are widely used for domestic and international remittances. However, they can be used for money laundering and other illegal financial operations. The paper considers an interactive multi-view approach that allows describing metaphorically the behavior of MMTS subscribers according to their transaction activities. The suggested visual representation of the MMTS users’ behavior based on the RadViz visualization technique helps to identify groups with similar behavior and outliers. We describe several case studies corresponding to the money laundering and behavioral fraud. They are used to assess the efficiency of the proposed a pproach as well as present and discuss the results of experiments.
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Evgenia Novikova, Igor Kotenko. Visual Analytics for Detecting Anomalous Activity in Mobile Money Transfer Services. International Cross-Domain Conference and Workshop on Availability, Reliability, and Security (CD-ARES), Sep 2014, Fribourg, Switzerland. pp.63-78, ⟨10.1007/978-3-319-10975-6_5⟩. ⟨hal-01403986⟩

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