International Journal of Business and Economic Development
IJBED
2051-848X
2051-8498
https://doi.org/10.24052/IJBED/
227
Applying artificial intelligence and machine learning techniques in the internal audit environment: A simulation test of an improved algorithm for detection of fraudulent events in financial entity transaction processing operations
This paper describes a new approach to financial fraud detection that is informed by both artificial intelligence and machine learning. It proposes, then tests with a simulated database of transactions, a metaheuristic algorithm based on two-layer deep learning. Employing a simple adaptation to a basic deep learning model that applies a hybridized honey badger modification, demonstrably higher quality outcomes were obtained than with commonly used competing models.
https://doi.org/10.24052/IJBED/V012N02/ART-04
https://ijbed.org/details&cid=227
https://ijbed.org/cdn/article_file/2024-12-03-19-32-58-PM.pdf
Volume 12
Issue 02
30
2024-11-01
2024-12-03
no
Artificial intelligence
Financial fraud
Honey badger algorithm
Internal audit
Machine learning
none
8432
37
0
A. J. Stagliano
Department of Accounting, Erivan K. Haub School of Business, Saint Joseph’s University, Philadelphia, USA