Telephony Fraud Detection in Next Generation Networks
Simon Augustin, Carmen Gaißer, Julian Knauer, Michael Massoth, Katrin Piejko, David Rihm, Torsten Wiens, Hochschule Darmstadt · 2015
Abstract—Telephony fraud is a growing problem for telecommunication service providers that operate Next Generation Networks (NGN). This paper describes a framework for a rule-based fraud detection system. The classification of fraudulent calls is based on Call Detail Records (CDR) that are used by telecommunication service providers for billing purposes. By analyzing this data, fraud can be detected efficiently. We propose a method for accomplishing this. The work has been conducted in collaboration with a telephony service provider that made real-life CDR data available for analysis. The main achievement of this paper is the description of a rule-based system that detects telephony fraud using CDR data. Keywords-Communication system security; Communication system signaling; Communication system traffic; Computer