Abstract
In recent years, the use of credit cards around the world has grown enormously. On-line transaction and e-commerce growing day by day with using of internet. Thus, the numbers of fraud cases have also increased, resulting in losses of thousands of dollars and rupees and other currency in worldwide. Therefore, securing all transactions using a payment card has become one of their top priorities. Credit card fraud comes from obtaining a physical card, or from using information of a cardholder like his credit card number, card verification code (CVC) or the expiration date. In this paper we present the feed forward neural network classifier for the Credit card fraud detection and improved the accuracy rate over the previous approach. In this paper we review multiple classification and machine learning techniques for prevention of such types of fraud also compare different authors works basis of their techniques, performance parameters and publication details.