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Fraud Detection in ERP Systems Using Scenario Matching

Abstract : 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.
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Asadul Khandoker Islam, Malcom Corney, George Mohay, Andrew E. Clark, Shane Bracher, et al.. Fraud Detection in ERP Systems Using Scenario Matching. 25th IFIP TC 11 International Information Security Conference (SEC) / Held as Part of World Computer Congress (WCC), Sep 2010, Brisbane, Australia. pp.112-123, ⟨10.1007/978-3-642-15257-3_11⟩. ⟨hal-01054523⟩



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