期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：3
期号：4
页码：8-11
出版社：International Journal of Soft Computing & Engineering
摘要：Due to a rapid growth in the e-commerce technology, the use of credit cards has increased. As credit card becomes the most popular mode of payment for both online as well as normal purchase, cases of credit card fraud also rising. Financial fraud is increasing significantly with the development of modern technology and the global superhighways of communication, resulting in the loss of billions of dollars worldwide each year. The fraudulent transactions are scattered with genuine transactions and simple pattern matching techniques are not often sufficient to detect those frauds accurately. Implementation of efficient fraud detection systems has thus become imperative for all credit card issuing banks to minim ize their losses. Many modern techniques were proposed & implemented in literature, they have their own advantages and disadvantages. We proposed hybrid approach used in credit card fraud detection mechanism
关键词：Credit card fraud; Credit Card Fraud detection ;methods; Electronic Commerce; Rule based filter; History ;database; Bayesian theorem; Dempster Shaper Adder
