Abstract:
Nowadays, mobile communication networks represent a key enabling
infrastructure for financial service provision, since they offer significant opportunities for
increasing the efficiency and pervasiveness of such services by expanding access and lowering
transaction costs. In the paper, the authors analyze the use case of mobile money transfer services
which are managed by a mobile network operator who not only provides infrastructure to
financial services but also emits mobile money.
In this paper, we present an interactive multi-view visualization approach that provides a
better insight in the large data sets describing MMTS activity. It is based on a RadViz-related
visualization of the MMTS users that helps to determine groups of similarities and outliers among
them and is characterized by low computational complexity. To the best of knowledge of the
authors, this work is the first to exploit the RadViz-visualization technique to visualize MMTS
subscribers. RadViz –based presentation of the MMTS users is supported by interactive graph
based visualization of their contacts. The graph of the users’ contacts is often used to analyze
financial transactions as it allows discovering structural peculiarities such as bridges and cliques.
The proposed visual analytics technique was evaluated on different test data sets
containing different fraudulent financial scenarios. Summarizing the results of the efficiency
evaluation of the proposed visualization technique for MMTS transaction activity, we can say
that RadViz visualization is helpful when detecting fraudulent scenarios which make use of
mules users whose behavior significantly differs from the behavior of the other MMTS
subscribers. It also allows detecting frauds associated with shifts in user behavior which have
cumulative character. Thus these frauds can be revealed when choosing a relatively long period
of time (e.g. a month) to explore MMTS transactions. That is why this technique was effective
when detecting mules in the money laundering scheme and the mobile botnet.
Keywords:
mobile money transfer services; anomaly detection; RadViz visualization, graph of user contacts.
This research is supported by RFBR (projects No. 14-07-00697, 14-07-00417, 15-07-07451, 16-37-00338, 16-29-09482), in part by the budget (projects No. 0073-2015-0004 and 0073-2015-0007) and by the grant of RSF 15-11-30029 in SPIIRAS.
Bibliographic databases:
Document Type:
Article
UDC:
004.056.5
Language: Russian
Citation:
E. S. Novikova, I. V. Kotenko, “Detection of Anomalous Activity in Mobile Money Transfer Services Using RadViz-Visualization”, Tr. SPIIRAN, 48 (2016), 32–51
\Bibitem{NovKot16}
\by E.~S.~Novikova, I.~V.~Kotenko
\paper Detection of Anomalous Activity in Mobile Money Transfer Services Using RadViz-Visualization
\jour Tr. SPIIRAN
\yr 2016
\vol 48
\pages 32--51
\mathnet{http://mi.mathnet.ru/trspy902}
\crossref{https://doi.org/10.15622/sp.48.2}
\elib{https://elibrary.ru/item.asp?id=27177923}
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