A fraud management system architecture for next-generation networks
dc.contributor.author | Bihina Bella, M.A. (Madeleine Adrienne) | |
dc.contributor.author | Eloff, Jan H.P. | |
dc.contributor.author | Olivier, Martin S. | |
dc.date.accessioned | 2009-03-10T13:35:07Z | |
dc.date.available | 2009-03-10T13:35:07Z | |
dc.date.issued | 2009 | |
dc.description.abstract | This 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. | en_US |
dc.identifier.citation | Bihina 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] | en_US |
dc.identifier.issn | 0379-0738 | |
dc.identifier.other | 10.1016/j.forsciint.2008.12.013 | |
dc.identifier.uri | http://hdl.handle.net/2263/9219 | |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Elsevier | en_US |
dc.subject | Fraud management system (FMS) | en_US |
dc.subject | Internet protocol (IP) | en_US |
dc.subject | Internet protocol detail record (IPDR) | en_US |
dc.subject | Next-generation network (NGN) | en_US |
dc.subject | Self-organising map (SOM) | en_US |
dc.subject | Telecommunications fraud | en_US |
dc.subject.lcsh | Internet fraud -- Management | |
dc.subject.lcsh | Anomaly detection (Computer security) | |
dc.title | A fraud management system architecture for next-generation networks | en_US |
dc.type | Postprint Article | en_US |