On the Use of Unsupervised Techniques for Fraud Detection in VoIP Networks
Yacine Rebahi1, Tran Quang Thanh1, Roman Busse1 and Pascal Lorenz2, 1Fraunhofer Institute for Open Communication Systems (FOKUS), Berlin, Germany, 2University of Haute Alsace, Colmar, France
In traditional telecommunication networks, fraud is already a threat depriving telecom operators of huge amounts of money every year. With the migration from circuit-switched networks to packet-switched networks, it is expected that this situation will worsen. In this chapter, we present an unsupervised learning technique for classifying VoIP subscribers according to their potential involvement in fraud activities. This technique builds a signature for each subscriber ...
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