Linkage Projects - Grant ID: LP0454077

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP0454077

Funding Status
Closed

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Funded Activity Summary

Intelligent techniques to exploit the dynamic temporal structure in detection of attacks in credit application fraud. Obtaining credit using fraudulent information costs financial institutions billions of dollars. This project develops fraud detection methods in credit applications, working with credit bureau data. Existing fraud detection models are mostly applicable to transaction fraud, rather than application fraud, and are static. Fraudsters however constantly change their method of attack. The temporal characteristics of fraud attacks provide an additional source of information that can be exploited to gain increased predictive power. We propose a hybrid intelligent approach to construct models that are sensitive to the temporal dynamics of fraud attacks, and evolve to acknowledge the changing behaviour of fraudsters.

Funded Activity Details

Start Date: 01-12-2004

End Date: 31-08-2008

Funding Scheme: Linkage Projects

Funding Amount: $70,668.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Neural Networks, Genetic Alogrithms And Fuzzy Logic | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Finance and investment services | Information processing services |

Other Keywords

Artificial Intelligence and Image Processing | Finance and investment services | Information processing services | Neural Networks, Genetic Alogrithms And Fuzzy Logic

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