Fraud detection in ERP systems using scenario matching

Islam, Asadul Khandoker, Corney, Malcolm W., Mohay, George M., Clark, Andrew J., Bracher, Shane, Tobias, Raub, & Flegel, Ulrich (2010) Fraud detection in ERP systems using scenario matching. In Security and Privacy : Silver Linings in the Cloud : Proceedings of International Information Security Conference (SEC 2010), Springer, Brisbane Convention & Exhibition Centre, Brisbane, Queensland, pp. 112-123.

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ERP systems generally implement controls to prevent certain common kinds of fraud. In addition however, there is an imperative need for detection of more sophisticated patterns of fraudulent activity as evidenced by the legal requirement for company audits and the common incidence of fraud. This paper describes the design and implementation of a framework for detecting patterns of fraudulent activity in ERP systems. We include the description of six fraud scenarios and the process of specifying and detecting the occurrence of those scenarios in ERP user log data using the prototype software which we have developed. The test results for detecting these scenarios in log data have been verified and confirm the success of our approach which can be generalized to ERP systems in general.

Impact and interest:

2 citations in Scopus
1 citations in Web of Science®
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ID Code: 32405
Item Type: Conference Paper
Refereed: Yes
Additional Information: Accepted papers will be presented at the conference and published in the IFIP AICT (Advances in Information and Communication Technology) Series by Springer.
Additional URLs:
Keywords: Fraud Detection, Enterprise Resource Planning, ERP Systems, Signature Matching
DOI: 10.1007/978-3-642-15257-3_11
ISBN: 9783642152566
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Computer System Security (080303)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Institutes > Information Security Institute
Copyright Owner: Copyright 2010 International Federation for Information Processing/Springer
Copyright Statement:

This is the author-version of the work.

Conference proceedings published, by Springer Verlag, will be available via SpringerLink.

Deposited On: 27 May 2010 22:14
Last Modified: 25 Oct 2016 23:41

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