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Visual Analytics for Detecting Anomalous Activity in Mobile Money Transfer Services

  • Evgenia Novikova
  • Igor Kotenko
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8708)

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.

Keywords

Mobile money transfer services fraud detection visual analytics RadViz visualization 

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Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Evgenia Novikova
    • 1
  • Igor Kotenko
    • 1
    • 2
  1. 1.Laboratory of Computer Security ProblemsSt. Petersburg Institute for Informatics and Automation (SPIIRAS)St. PetersburgRussia
  2. 2.Mechanics and OpticsSt. Petersburg National Research University of Information TechnologiesSaint-PetersburgRussia

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