A hybrid system for fraud detection in mobile communications.
Yves Moreau, Ellen Lerouge, Herman Verrelst, Joos P. L. Vandewalle, Christof Störmann, Peter Sherwood Burge · The European Symposium on Artificial Neural Networks · 1999
During the course of the European project \Advanced Security for Personal Communication Technologies (ASPeCT), we have developed some rule-based and neural network architectures as a number of di erent fraud detection tools for GSM networks. We have now integrated these di erent techniques into a hybrid detection tool. We optimized the performance of the hybrid system in terms of the number of subscribers raising alarms. More precisely, we optimized performance curves showing the trade-o between the percentage of correctly identi ed fraudsters versus the percentage of new subscribers raising alarms. We report here on a common suite of experiments we performed on these di erent sys-