Procedia Computer Science 213, pp. 332-337.
ISSN/ISBN: 1877-0509 DOI: https://doi.org/10.1016/j.procs.2022.11.075
Abstract: The paper assesses the possibility of an integrated application of tests based on a statistical tool for detecting data distortions, known as Benford's Law, to detect corporate fraud. The approach has been applied as part of a forensic examination of a construction company's bona fides as a borrower. Implementation of the method allowed a fraudulent scheme associated with high tax risk activities to be exposed, while significantly reducing the workload of the audit. The effectiveness of an integrated application of Benford's Law tests has been confirmed.
Bibtex:
@article{,
title = {Integrated application of Benford's Law tests to detect corporate fraud},
journal = {Procedia Computer Science},
volume = {213},
pages = {332-337},
year = {2022},
note = {2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence: The 13th Annual Meeting of the BICA Society},
issn = {1877-0509},
doi = {https://doi.org/10.1016/j.procs.2022.11.075},
url = {https://www.sciencedirect.com/science/article/pii/S1877050922017665},
author = {Pavel Y. Leonov and Viktor P. Suyts and Anna N. Norkina and Viktor M. Sushkov},
}
Reference Type: Conference Paper
Subject Area(s): Accounting