Forensic accounting in the fraud auditing case
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.
References
Alden, M.E., Bryan, D.M., Lessley, B.J., & Tripathy, A. (2012). Detection of Financial Statement Fraud Using Evolutionary Algorithms. Journal of Emerging Technologies in Accounting, 9(1), 71-94. doi:10.2308/jeta-50390
Arežina, N., Knežević, G., Simeunović, N., & Vukićević, S. (2014). Forensic Accountant: Innate Trait or Acquired Skill? Singidunum University International Scientific Conference Financial Reporting Function of the Corporate Governance, Belgrade, December 5 (pp. 131-134). Belgrade: Singidunum University. doi:10.15308/finiz-2014-131-134
Association of Certified Fraud Examiners. (2016). Report to the Nations, 2016 Global Fraud Study. Retrieved April 14, 2016, from http://www.acfe.com/rttn2016.aspx
Bhasin, M. (2015). An Empirical Investigation of the Relevant Skills of Forensic Accountants: Experience of a Enveloping Economy. Retrieved April 04, 2016, from http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2676519
Chabot, Y., Bertaux, A., Nicolle, C., & Kechadi, M.T. (2014). A Complete Formalized Knowledge Representation Model for Advanced Digital Forensics Timeline Analysis. Digital Investigation, 11, S95-S105. doi:10.1016/j.diin.2014.05.009
Chan, D.Y. & Vasarhelyi, M.A. (2011). Innovation and Practice of Continuous Auditing. International Journal of Accounting Information Systems, 12(2), 152-160. doi:10.1016/j.accinf.2011.01.001
Coderre, D.G. (2009). Computer-Aided Fraud Prevention and Detection: A Step-by-Step Guide. New Jersey: John Wiley & Sons.
Elyas, M., Maynard, S.B., Ahmad, A., & Lonie, A. (2014). Towards a Systemic Framework for Digital Forensic Readiness. Journal of Computer Information Systems, 54(3), 97-105. doi:10.1080/08874417.2014.11645708.
Gao, L., & Srivastava, R.P. (2011). The Anatomy of Management Fraud Schemes: Analyses and Implications. Indian Accounting Review, 15(1), 1-23.
Gbegi, D.O., & Adebisi, J.F. (2014). Forensic Accounting Skills and Techniques in Fraud Investigation in the Nigerian Public Sector. Mediterranean Journal of Social Sciences, 5(3), 243. doi:10.5901/mjss.2014.v5n3p243
Gray, G.L., & Debreceny, R.S. (2014). A taxonomy to Guide Research on the Application of Data Mining to Fraud Detection in Financial Statement Audits. International Journal of Accounting Information Systems, 15(4), 357-380. doi:10.1016/j.accinf.2014.05.006
Grubor, G., Ristić, N., & Simeunović, N. (2013). Integrated Forensic Accounting Investigative Process Model in Digital Environment. International Journal of Scientific and Research Publications, 3(12), 1-9.
Harlan, C. (2009). Windows Forensic Analysis DVD Toolkit, Ch. 8, p. 411: Syngress Publishing. Inc. Retrieved April 12, 2016, from http://160.216.223.99/vyuka/forensics/Windows%20Forensic%20Analysis%20DVD%20Toolkit%20%20Second%20Edition.pdf
IBM. (2013). Big Data at the Speed of Business. Retrieved November 25, 2015, from http://www-01.ibm.com/software/data/bigdata
ISO/IEC 27001. (2013). Information Technology: Code of Practice for Information Security Management. Retrieved November 27, 2015, from http://www.iso27001security.com/html/27001.html
ISO/IEC 27002. (2013). Information Technology: Code of Practice for Security Controls. Retrieved November 27, 2015, from http://www.iso27001security.com/html/27002.html
Jans, M., Lybaert, N., & Vanhoof, K. (2010). Internal fraud risk reduction: Results of a data mining case study.
International Journal of Accounting Information Systems, 11(1), 17-41. doi:10.1016/j.accinf.2009.12.004.
Jones, J.R. (2006). Document Metadata and Computer Forensics. James Madison University Infosec Techreport, Department of Computer Science. Retrieved January 15, 2016, from http://creative.cisat.jmu.edu/projects/CS/infosec/documents/jmu-infosec-tr-2006-003.pdf
Jones, K.J., Bejtlich, R., & Rose, C.W. (2005). Real Digital Forensics: Computer Security and Incident Response. Upper Saddle River, NJ: Addison-Wesley.
Keman, D. (2004). Hidden Data in Electronic Documents, GIAC GSEC Practical (v.1.4b, Option 1), SANS Institute InfoSec Reading Room. Retrieved January 25, 2016, from https://www.sans.org/reading-room/whitepapers/privacy/hidden-data-electronic-documents-1455
Keszthelyi, A. (2013). About Passwords. Acta Polytechnica Hungarica, 10(6), 99-118. doi:10.12700/APH.10.06.2013.6.6
King, J.R. (2009). Document Production in Litigation: Use an Excel-Based Control Sheet. National Association of Valuation Analysts. Retrieved December 19, 2015, from http://www.investopedia.com/terms/n/national-association-of-certified-valuation-analysts.asp
Kwok, B.K.B. (2008). Forensic Accountancy. Ohio: LexisNexis.
Michelberger, P., & Lábodi, C. (2012). After Information Security: Before a Paradigm Change (A Complex Enterprise Security Model. Acta Polytechnica Hungarica, 9(4), 101-116.
Microsoft Knowledge Base. (2007). How to minimize metadata in Microsoft Excel Workbooks, Article ID: 223789. Retrieved January 15, 2016, from http://aumha.org/index.htm
Microsoft Knowledge Base. (2013). Microsoft Office and Forensic Accounting: Advanced Techniques, Effective Tests, & Valuable Tips for Excel, OneNote, Word, PowerPoint, & Access. Retrieved January 15, 2016, from http://aumha.org/index.htm.
Milosavljević, M., & Grubor, G. (2009). Digitalna forenzika računarskog sistema. Beograd: Univerzitet Singidunum. In Serbian.
Milosavljević, M., & Grubor, G. (2009). Istraga kompjuterskog kriminala. Beograd: Univerzitet Singidunum. In Serbian.
National Institute for Standards and Technology. (2013). Security and Privacy Controls for Federal Information Systems and Organizations. doi:10.6028/NIST.SP.800-53r4
Nigrini, M. (2009). Benford’s Law Excel 2007/2010 Software. Retrieved December 10, 2015, from http://www.nigrini.com/datas_software.htm
Nigrini, M. (2011). Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations. Hoboken, NJ: John Wiley & Sons.
Panigrahi, P.K. (2006). Discovering Fraud in Forensic Accounting Using Data Mining Techniques. The Chartered Accountant, April(2006), 1426-1430. Retrieved February 16, 2016, from http://assets.cacharya.com/Discovering-Fraud-in-Forensic-Accounting-Using-Data-Mining-Techniques-Published-MQWQNJHS.pdf?1425861052
Perols, J. (2011). Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning Algorithms. Auditing: A Journal of Practice & Theory, 30(2), 19-50. doi:10.2308/ajpt-50009
Ravisankar, P., Ravi, V., Raghava Rao, G., & Bose, I. (2011). Detection of financial statement fraud and feature selection using data mining techniques. Decision Support Systems, 50(2), 491-500. doi:10.1016/j.dss.2010.11.006
Seward, J. (2011). Forensic Accounting: The Recorded Electronic Data Found on Computer Hard Disk Drives, PDAs and Numerous Other Digital Devices. Retrieved November 22, 2015, from https://articles.forensicfocus.com/2011/06/27/forensic-accounting-the-recorded-electronic-data-found-on-computer-hard-disk-drives-pdas-and-numerous-other-digital-devices/
Singleton, T.W., & Singleton, A.J. (2010). Fraud Auditing and Forensic Accounting. Hoboken, NJ: John Wiley & Sons.
Vasarhelyi, M.A., Alles, M.G., & Kogan, A. (2004). Principles of Analytic Monitoring for Continuous Assurance. Journal of Emerging Technologies in Accounting, 1(1), 1-21. doi:10.2308/jeta.2004.1.1.1
Vasarhelyi, M.A., Alles, M.G., Kuenkaikaew, S. & Littley, J. (2012). The Acceptance and Adoption of Continuous Auditing by Internal Auditors: A Micro Analysis.International Journal of Accounting Information Systems, 13(3), 267-281. doi:10.1016/j.accinf.2012.06.011
Winch, D. (2007). Finding and using a forensic accountant. Retrieved December 5, 2015, from http://www.accountingevidence.com/documents/articles/Forensic%20accountant1.pdf
