Abstract

This paper presents a real case of digital forensic analysis in organizational fraud auditing process investigated using two different forensic tools, namely Tableau TD3 Touch Screen Forensic Imager and Access Data FTK Imager. Fraud auditing is more of a mindset than a methodology and has different approaches from financial auditing. Fraud auditors are mostly focused on exceptions, accounting irregularities, and patterns of their conduct. Financial auditors place special emphasis on the audit trail and material misstatements. A fraud case investigation of non-cash misappropriations committed by an employee, the warehouseman, will be presented herein in order to highlight the usefulness of fraud auditing, which can reveal many forms of financial crime and can be used in both private and public sector companies. Due to the computerized accounting environment, fraud investigation requires a combination of auditing, computer crime and digital forensic investigation skills, which can be achieved through joint efforts and cooperation of both digital investigator and fraud auditor as proposed herein.

Highlights

  • Auditing is a process that enables determining reliability of recorded, classified and summarized financial data

  • Accounting differs from auditing, as a process of recording, classification and summarizing of economic events to help the management make informed decisions based on the sound financial data (Nigrini, 2011)

  • A digital forensic examiner, like a fraud auditor, looks for relevant information without presumption, organizes it and tries to discover relevant data and make a pattern they create in order to reconstruct what may have occurred (Singleton & Singleton, 2010; Milosavljević & Grubor, 2010)

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Summary

Introduction

Auditing is a process that enables determining reliability of recorded, classified and summarized financial data. DIGITAL FORENSIC INVESTIGATION IN FRAUD AUDITING PROCESS A digital forensic examiner, like a fraud auditor, looks for relevant information without presumption, organizes it and tries to discover relevant data and make a pattern they create in order to reconstruct what may have occurred (Singleton & Singleton, 2010; Milosavljević & Grubor, 2010).

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