ACTIVE APPROACH IN DETECTION OF INTERNAL FRAUDULENT ACTS ANALYZING RAW DATA FROM INFORMATION SYSTEM

Predrag M Simić, Luka Milinković, Milorad Jović

Abstract


The paper contains authors' experience in detection of fraudulent activities by working with internal and external audit. Based on research in the area of internal controls and information security, authors established an active model approach in detection of internal fraudulent acts analyzing raw data from information system. The paper points out the advantages of an active approach based on intersection tests that indicate suspicious transactions in relation to the reactive approach, which is based on customer complaints, anonymous tips, etc.

Keywords


Financial fraud, fraud indicators, IT audit, suspicious transactions

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References


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