A Review of Financial Accounting Fraud Detection based on Data Mining Techniques

With an upsurge in financial accounting fraud in the current economic scenario experienced, financial accounting fraud detection (FAFD) has become an emerging topic of great importance for academic, research and industries. The failure of internal auditing system of the organization in identifying the accounting frauds has lead to use of specialized procedures to detect financial accounting fraud, collective known as forensic accounting. Data mining techniques are providing great aid in financial accounting fraud detection, since dealing with the large data volumes and complexities of financial data are big challenges for forensic accounting. This paper presents a comprehensive review of the literature on the application of data mining techniques for the detection of financial accounting fraud and proposes a framework for data mining techniques based accounting fraud detection. The systematic and comprehensive literature review of the data mining techniques applicable to financial accounting fraud detection may provide a foundation to future research in this field. The findings of this review show that data mining techniques like logistic models, neural networks, Bayesian belief network, and decision trees have been applied most extensively to provide primary solutions to the problems inherent in the detection and classification of fraudulent data.Comment: 11 Pages. International Journal of Computer Applications February 201

Identity theft: do definitions still matter?

Despite a statutory definition of identity theft, there is a continuing debate on whether differences among the financial frauds associated with identity theft warrant further distinction and treatment, not only by lenders and financial institutions but also by consumers and regulatory and law enforcement agencies. In this Discussion Paper, Julia S. Cheney examines four types of financial fraud – fictitious identity fraud, payment card fraud, account takeover fraud, and true name fraud – that fall under the legal term identity theft to better understand how criminal behavior patterns, risks for consumers and lenders, and mitigation strategies vary depending upon the sort of data stolen, the type of account compromised, and the opportunity for financial gain. Three areas key to developing effective solutions that, in the view of the author, would benefit from further definitional delineations are identified: measuring the success (or failure) of efforts to fight this crime, educating consumers about the risks and responses to this crime, and coordinating mitigation strategies across stakeholders and geographies.Identity theft ; Fraud ; Credit cards

What Is Fraud and Who Is Responsible?

Research shows that fraudulent activity affecting the financial statements is more prevalent than ever despite the increased attention devoted to the prevention and detection of fraud by companies and professional accountants. Fraud is a critical issue for preparers and users of financial statements, as well as auditors. Each group’s association and involvement with the financial statements is from a slightly different perspective. Even though all individuals in the financial reporting process share the responsibility for the integrity of the financial statements, different perspectives of fraud can and do affect each group’s interpretation of fraudulent activity and responsibility for the prevention and detection of fraud. Accordingly, two questions must be asked: What constitutes fraud, and who is responsible for the detection of fraud? This paper examines the similarities and differences in the definition of fraud, as documented by ten professional organizations, as well as who is responsible for fraud detection

Foxes in the Henhouse: An Exploratory Inquiry into Financial Markets Fraud

Conventional understandings of fraud are organized around the fraud triangle first developed in the 1950s by Cressey. This conceptual device remains central in our pedagogy and research on this especially timely topic. As long as fraud is imagined to be not much different than a stereotypical act by a single individual out of financial desperation and impulsiveness, the fraud triangle provides a reasonably powerful conceptual organization. However, when applied to abuses that occur in highly organized financial markets, its application takes on new meanings that push the boundaries of its usefulness. Using interviews with traders and other securities market participants, this paper concludes that the prospects for ill-gotten gain are much more systematic and the product of incomplete regulation

AUDITOR LIABILITY IN PERIOD OF FINANCIAL CRISIS

This paper deals with issues of how to take on the responsibility of the auditor, especiallyin this time of crisis that hits the whole society. Significant role of financial auditor and the lies that theauditor is unable to give reasonable assurance that financial statement are not tainted by fraud andmaterial errors. This results from International Standards on Auditing, which indicated that manyusers rely on financial statements as their primary source of information because they are unable toobtain additional information to meet specific information needs.economic crisis, responsibility, economy, financial statements, error, fraud

Can the general fraud offence 'get the law right'? Some perspectives on the 'problem' of financial crime

The Fraud Bill, which received Royal Assent on 8 November 2006, created an offence of fraud in English criminal law which marks a departure of utmost significance from the approach adopted hitherto, whereby a number of related offences cover behaviour deemed to amount to fraud. To mark the passage of the Fraud Act 2006 into law, this article examines the references which were made during its consideration in Parliament to fraud as activity which is serious and which is often erroneously portrayed as 'victimless' crime. In joining these key criminal policy-making debates with academic study of white-collar crime, it will be suggested that as yet too little attention is being paid to 'ambiguous' popular perceptions of financial crimes for there to be confidence that the fraud offence will, in the words of the current Solicitor-General, 'get the law right'

Intelligent Financial Fraud Detection Practices: An Investigation

Financial fraud is an issue with far reaching consequences in the finance industry, government, corporate sectors, and for ordinary consumers. Increasing dependence on new technologies such as cloud and mobile computing in recent years has compounded the problem. Traditional methods of detection involve extensive use of auditing, where a trained individual manually observes reports or transactions in an attempt to discover fraudulent behaviour. This method is not only time consuming, expensive and inaccurate, but in the age of big data it is also impractical. Not surprisingly, financial institutions have turned to automated processes using statistical and computational methods. This paper presents a comprehensive investigation on financial fraud detection practices using such data mining methods, with a particular focus on computational intelligence-based techniques. Classification of the practices based on key aspects such as detection algorithm used, fraud type investigated, and success rate have been covered. Issues and challenges associated with the current practices and potential future direction of research have also been identified.Comment: Proceedings of the 10th International Conference on Security and Privacy in Communication Networks (SecureComm 2014