Visa International Service Association

Other

Visa U.s.a. Inc.

Christopher Brown

Kevin Paul Siegel

Thomas H Dwyer

Mark Allen Nelsen

Nancy Hilgers

Frederick Liu

Charles Raymond Byce

Robert L Grossman

Aoyu Chen

Randi Annette Paynter

Rules, applied to deny authorization of likely fraudulent transactions, are derived from a modified Patient Rule Induction Method algorithm that uses a target variable and a data set of past transactions each associated with a plurality of input variables and a hyper-rectangle enclosing a multi-dimensional space defined by a representation of the input variable values as points within the multi-dimensional space. While a count of the points within the hyper-rectangle is greater than a minimum support parameter, a first plurality of points proximal to edges of the hyper-rectangle are removed, where each such removing maximizes a mean value of the target variable, and then, while the mean value remains maximized, a second plurality of points proximal to the edges is added, where each adding maximizes or maintains the mean value. The hyper-rectangle is bounded within a minimum bounding box that defines the rules.

Risk assessment rule set application for fraud prevention

A system, apparatus, and method for reducing fraud in payment transactions by identifying a potential point of compromise (POC) that may lead to subsequent fraudulent transactions, or confirming that a suspected point of compromise is in fact responsible for a security breach leading to fraudulent payment transactions. The invention is also directed to a system, apparatus, and method for identifying data or transaction characteristics that may be used to most effectively identify a point of compromise in a payment transaction system.

System and method for identifying a point of compromise in a payment transaction processing system

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Oakland, CA, United States of America

Christopher Brown