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...

This study aims to examine the tendency of fraud perception external auditors triggered by five components pentagon fraud: pressure, opportunity, arrogance, rationalization,and competence. In addition, morality individual is placed as an intervention variable for this relationship. a quantitative with survey at BPK in Jakarta. The model research framework was developed investigate role interfer...

Fraud is a global problem that has required more attention due to an accentuated expansion of modern technology and communication. When statistical techniques are used to detect fraud, whether a fraud detection model is accurate enough in order to provide correct classification of the case as a fraudulent or legitimate is a critical factor. In this context, the concept of bootstrap aggregating ...

both academic and auditing firms have been searching for ways to detect corporate fraud. The main objective of this study was to present a model to detect financial reporting fraud by companies listed on Tehran Stock Exchange (TSE) using genetic algorithm. For this purpose, consistent with theoretical foundations, 21 variables were selected to predict fraud in financial reporting that finally, ...

Every year, e-service providers report losses of billions of dollars due to fraud. Despite their huge efforts in implementing sophisticated fraud detection systems on top of their e-services, fraud effects seem to be rather increasing than decreasing. As a result, fraud risk assessment has been introduced as a fundamental part of e-service providers’ prevention strategies. In particular, identi...

Using data from a credit card issuer, a neural network based fraud detection system was trained on a large sample of labelled credit card account transactions and tested on a holdout data set that consisted of all account activity over a subsequent two-month period of time. The neural network was trained on examples of fraud due to lost cards, stolen cards, application fraud, counterfeit fraud,...

The purpose of the article is to assess maturity systems for counteracting financial and cyber fraud with view their future integration at global-level. calculations made by authors were based on indicators 76 countries, which characterized each country's level cybersecurity its ability combat in 2018. After optimising input data selecting relevant indicators, built an integrated index using Su...

This paper uses Artificial Neural Networks to develop a model for detecting management fraud. Although similar to the more widely investigated area of bankruptcy prediction, research has been minimal. To increase the body of knowledge on this subject, we offer an in-depth examination of important publicly available predictors of fraudulent financial statements. We test the value of these sugges...

Telecom providers are losing tremendous amounts of money due to fraud risks posed to Telecom services and products. Currently, they are mainly focusing on fraud detection approaches to reduce the impact of fraud risks against their services. However, fraud prevention approaches should also be investigated in order to further reduce fraud risks and improve the revenue of Telecom providers. Fraud...