A fraud management system architecture for next-generation networks

M. A. Bihina Bella et al.

2009

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

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.

Deﬁnitive version

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

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},
doi={10.1016/j.forsciint.2008.12.013} )