Distributed Data Mining in Credit Card Fraud Detection
IEEE Intelligent Systems
Neural Data Mining for Credit Card Fraud Detection
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Taxonomy of e-commerce disputes
AIC'04 Proceedings of the 4th WSEAS International Conference on Applied Informatics and Communications
Location of trusted email for prevention of credit card fraud in soft-products e-commerce
AIC'04 Proceedings of the 4th WSEAS International Conference on Applied Informatics and Communications
Comprehensive study on methods of fraud prevention in credit card e-payment system
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
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This paper focuses on credit card fraud in Multimedia Products, which are soft-products. By soft-products, we mean intangible products that can be used and consumed without having them shipped physically, such as software, music and calling cards (calling time). The demand for soft-products, mainly Multimedia Products, on the Internet has grown in the last few years and is rapidly increasing. Credit card fraudulent transactions on such products are very easy to conduct, while very difficult to recover, compared to the fraud cases in hard-products transactions. This paper classifies the types of products sold on the Internet, and the usual fraud occurred in each type. It summarizes some of the existing best practices to prevent credit card fraud. Finally, it introduces the use of a Trusted Email as a way to authenticate the customer and to simulate his/her physical address (since on these products no actual shipping will happen).