Detecting Collusive Fraud in Enterprise Resource Planning Systems-Reference-Cited by-同舟云学术

Detecting Collusive Fraud in Enterprise Resource Planning Systems

Published:2011 Issue: Volume: Page:143-153
ISSN:1868-4238
Container-title:Advances in Digital Forensics VII
language:
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Author:

Islam Asadul,Corney Malcolm,Mohay George,Clark Andrew,Bracher Shane,Raub Tobias,Flegel Ulrich

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-24212-0_11.pdf

Reference16 articles.

1. Association of Certified Fraud Examiners, 2006 ACFE Report to the Nation on Occupational Fraud and Abuse, Austin, Texas (www.acfe.com/documents/2006RTTN.ppt), 2006.

2. Association of Certified Fraud Examiners, 2010 Report to the Nation on Occupational Fraud and Abuse, Austin, Texas (www.acfe.com/rttn/2010-rttn.asp), 2010.

3. E. Barse, H. Kvarnstrom and E. Jonsson, Synthesizing test data for fraud detection systems, Proceedings of the Nineteenth Annual Computer Security Applications Conference, pp. 384–394, 2003.

4. T. Bell and J. Carcello, A decision aid for assessing the likelihood of fraudulent financial reporting, Auditing: A Journal of Practice and Theory, vol. 19(1), pp. 169–184, 2000.

5. K. Fanning and K. Cogger, Neural network detection of management fraud using published financial data, Intelligent Systems in Accounting, Finance and Management, vol. 7(1), pp. 21–41, 1998.

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