Systematic identification and analysis of different fraud detection approaches based on the strategy ahead

Fraud detection is one of the ways to cope with damages of fraudulent activities that have become common due to the rapid development of Internet technology and electronic business. In this paper, first the concept of fraud and the status of fraud detection will be discussed and then an efficient framework for the classification of various fraud detection approaches will be presented. Investigation of the proposed methods in this field indicates the existence of various approaches to fraud detection and perception of existing concepts. Lack of a comprehensive classification in this regard and specified evaluation criteria are the main challenges facing researchers. Therefore, in this paper, in addition to the identification of four basic approaches to fraud detection, appropriate criteria for evaluating these methods will be described. Finally, the proposed approaches will be evaluated based on the criteria presented. Using the systematic and structured framework proposed in this paper, more accurate fraud detection methods and their principled application can be identified and a useful platform for the comparative study of existing methods in the field will be provided.