Bihina Bella, M.A. (Madeleine Adrienne)Eloff, Jan H.P.Olivier, Martin S.2009-03-102009-03-102009Bihina Bella, MA, Eloff, JHP & Olivier, MS 2009, 'A fraud management system architecture for next-generation networks', Forensic Science International (2009). [doi:10.1016/j.forsciint.2008.12.013]0379-073810.1016/j.forsciint.2008.12.013http://hdl.handle.net/2263/9219This paper proposes an original architecture for a fraud management system (FMS) for convergent. Nextgeneration networks (NGNs), which are based on the Internet protocol (IP). The architecture has the potential to satisfy the requirements of flexibility and application-independency for effective fraud detection in NGNs that cannot be met by traditional FMSs. The proposed architecture has a thorough four-stage detection process that analyses billing records in IP detail record (IPDR) format – an emerging IP-based billing standard – for signs of fraud. Its key feature is its usage of neural networks in the form of self-organising maps (SOMs) to help uncover unknown NGN fraud scenarios. A prototype was implemented to test the effectiveness of using a SOM for fraud detection and is also described in the paper.enElsevierFraud management system (FMS)Internet protocol (IP)Internet protocol detail record (IPDR)Next-generation network (NGN)Self-organising map (SOM)Telecommunications fraudInternet fraud -- ManagementAnomaly detection (Computer security)Postprint Article