In recent years, topics such as fraud detection and fraud prevention have received a lot of attention on the research front, in particular from payment card issuers. The reason for this increase in research activity can be attributed to the huge annual financial losses incurred by card issuers due to fraudulent use of their card products. A successful strategy for dealing with fraud can quite l...

Inductive learning and classification techniques have been applied in many problems in diverse areas. In this paper we describe an AI-based approach that combines inductive learning algorithms and meta-learning methods as a means to compute accurate classification models for detecting electronic fraud. Inductive learning algorithms are used to compute detectors of anomalous or errant behavior o...

The purpose of this study is exploring expectation gap among university students and auditors points of view about importance of fraud risk components. To get this purpose, university students' ideas and auditors about importance of each mentioned fraud risk components in Iranian auditing standard No. 24 under the title of "the auditor’s responsibilities relating to fraud in an audit of financi...

Fraud detection is becoming increasingly important to managers of organizations, to internal and external auditors, and to regulators (Apostolou and Crumbley, 2005). Recent large frauds in many countries of the world and the Sarbanes-Oxley Act in the United States stress the importance of early detection of fraud. Financial statement frauds have weakened investor confidence in corporate financi...

The objective of this study is to apply an unsupervised neural network tool to analyze fraudulent financial reporting (FFR) by extracting distinguishing features from samples of groups of companies and converting them into useful information for FFR detection. This methodology can be used as a decision support tool to help build an FFR identification model or other financial fraud or financial ...

Enterprise systems, real time recording and real time reporting pose new and significant challenges to the accounting and auditing professions. This includes developing methods and tools for continuous assurance and fraud detection. In this paper we propose a methodology for continuous fraud detection that exploits security audit logs, changes in master records and accounting audit trails in en...

Researchers and practitioners have made many attempts to identify fraud indicators and to build fraud prediction procedures. Fraud is a beg subject and causes tremendous loss to the business world and creates morale problems in the workplace. It represents a critical issue for the accounting profession, in devolved and non-developed countries. Numerous surveys in the 1980s have served to underl...

Money in the e-commerce network, represents information moving at the speed of light, where fraud (digital crime) within the banking and financial services happened very fast and can cost billions of dollars each year-undetected and unreported. In this paper I present a comprehensive framework that mines and detect fraudulent transactions of Card-NotPresent (CNP) in the e-payment systems with a...