Bidirectional Artificial Neural Networks for Mobile-Phone Fraud Detection
Andrej Krenker, Mojca Volk, Urban Sedlar, Janez Bešter, Andrej Kos · ETRI Journal · 2009
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.