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Abstract

A method is presented for analyzing the potential that a transaction event is fraudulent utilizing the existence of multiple fraud detection rule sets. Only one rule set is applied to a particular transaction. The choice as to which rule set is to be applied is based upon the content of the transaction. For instance, in an e-commerce environment in which products can be ordered over the Internet, it may be useful to develop two separate rule sets. A first rule set, which can be weighted toward lowering false positives, is applied to all orders where the items being ordered are standard, physical products that are not easily converted to cash. A second rule set, weighted toward including more fraudulent transactions, is applied to all transactions including an order for a gift card, a stored value card, or another type of merchandise that is directly convertible to cash or is otherwise useable in a manner similar to cash.

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First Claim