Continuous fraud detection in enterprise systems through audit trial analysis
Article
Article Title | Continuous fraud detection in enterprise systems through audit trial analysis |
---|---|
ERA Journal ID | 36567 |
Article Category | Article |
Authors | Best, Peter J. (Author), Rikhardsson, Pall (Author) and Toleman, Mark (Author) |
Journal Title | Journal of Digital Forensics, Security and Law |
Journal Citation | 4 (1), pp. 39-60 |
Number of Pages | 22 |
Year | 2009 |
Place of Publication | Maidens, VA, United States |
ISSN | 1558-7215 |
1558-7223 | |
Web Address (URL) | http://www.jdfsl.org/subscriptions/abstracts/abstract-v4n1-best.htm |
Abstract | Enterprise systems, real time recording and real time reporting pose new and significant challenges to the accounting and auditing professions. This includes developing methods and tools for continuous assurance and fraud detection. In this paper we propose a methodology for continuous fraud detection that exploits security audit logs, changes in master records and accounting audit trails in enterprise systems. The steps in this process are: (1) threat monitoring-surveillance of security audit logs for ‘red flags’, (2) automated extraction and analysis of data from audit trails, and (3) using forensic investigation techniques to determine whether a fraud has actually occurred. We demonstrate how mySAP, an enterprise system, can be used for audit trail analysis in detecting financial frauds, Afterwards we use a case study of a suspected fraud to illustrate how to implement the methodology. |
Keywords | continuous assurance; continuous audit; fraud detection; enterprise system; accounting information systems; mySAP; audit trails |
ANZSRC Field of Research 2020 | 350208. Investment and risk management |
460499. Cybersecurity and privacy not elsewhere classified | |
350102. Auditing and accountability | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Accounting, Economics and Finance |
SAS Institute, Denmark | |
School of Information Systems |
https://research.usq.edu.au/item/9z3q3/continuous-fraud-detection-in-enterprise-systems-through-audit-trial-analysis
2347
total views12
total downloads0
views this month0
downloads this month