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A fraud management system architecture for next-generation networks

Bihina Bella, Eloff, and Olivier

2009

(Citation)Citation information

M. A. Bihina Bella, J. H. P. Eloff, and M. S. Olivier. “A fraud management system architecture for next-generation networks”. In: Forensic Science International 185.1-3 (2009), pp. 51–58

(Abstract)Abstract

This paper proposes an original architecture for a fraud management system (FMS) for convergent. Next-generation 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.

(Authoritative version on publisher's site)Definitive version

The definitive version of the paper is available from the publisher.
DOI: 10.1016/j.forsciint.2008.12.013

(BibTeX record)BibTeX reference

@article(ng-fms,
author={Bihina Bella, Madeleine A and Jan H P Eloff and Martin S Olivier},
title={A fraud management system architecture for next-generation networks},
journal={Forensic Science International},
volume={185},
number={1-3},
pages={51-58},
year={2009} )