Bidirectional Artificial Neural Networks for Mobile-Phone Fraud Detection

ETRI Journal

关键词: mobile telecommunications;    fraud detection;    Bidirectional artificial neural networks (bi-ANN);   

Others  :  1185863
DOI  :  10.4218/etrij.09.0208.0245

【 摘 要 】

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.

   

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