ETRI Journal

Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Bidirectional Artificial Neural Networks for Mobile-Phone Fraud Detection

  • Krenker, Andrej (Laboratory for Telecommunications, University of Ljubljana) ;
  • Volk, Mojca (Laboratory for Telecommunications, University of Ljubljana) ;
  • Sedlar, Urban (Laboratory for Telecommunications, University of Ljubljana) ;
  • Bester, Janez (Laboratory for Telecommunications, University of Ljubljana) ;
  • Kos, Andrej (Laboratory for Telecommunications, University of Ljubljana)
  • Received : 2008.08.12
  • Accepted : 2008.12.11
  • Published : 2009.02.28
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Abstract

We propose a system for mobile-phone fraud detection based on a bidirectional artificial neural network (bi-ANN). The key advantage of such a system is the ability to detect fraud not only by offline processing of call detail records (CDR), but also in real time. The core of the system is a bi-ANN that predicts the behavior of individual mobile-phone users. We determined that the bi-ANN is capable of predicting complex time series (Call_Duration parameter) that are stored in the CDR.

Keywords

References

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