Visa International Service Association

B Scott Boding

Cory Howard Siddens

Andrew Naumann Zu Koenigsbrueck

An identity chaining fraud detection method that allows each current transaction to be linked to other transactions through commonly shared identities. Over a period of time the links create a chain of associated transactions which can be analyzed to determine if identity variances occur, which indicates that fraud is detected. Additionally, if a specific identity is detected as being fraudulent, that identity can be tagged as fraudulent and can be referenced by a plurality of other merchant transaction chains to determine fraud.

System and method for identity chaining

Embodiments of the invention broadly described, introduce systems and methods for detecting the likelihood that a transaction is fraudulent using user access pattern data and device fingerprint data. One embodiment of the invention discloses a method for determining the likelihood that a payment transaction is fraudulent. The method comprises receiving user access pattern data generated by a user client computer, receiving a device fingerprint associated with the user client computer conducting a payment transaction, determining, using the user access pattern data and the device fingerprint, a likelihood that the payment transaction is fraudulent.

Method and system for data security utilizing user behavior and device identification

Embodiments of the invention are directed to a fraud detection system that stores fraud detection rules and merchant profiles. The fraud detection system allows a user to designate fraud detection rules as core fraud detection rules, and the fraud detection system can automatically populate new profiles with the user's core fraud detection rules.

Fraud detection system automatic rule population engine

Systems and methods are provided for detecting the likelihood that a transaction is fraudulent using user access pattern data and device fingerprint data. One embodiment of the invention discloses a method for determining the likelihood that a payment transaction is fraudulent. For example, a transaction analysis system can receive user access pattern data generated by a user client computer, receive a device fingerprint associated with the user client computer conducting a payment transaction, and determine, using the user access pattern data and the device fingerprint, a likelihood that the payment transaction is fraudulent.

Embodiments of the invention are directed to a fraud detection system that stores fraud detection rules and merchant profiles. The fraud detection system allows a user to designate fraud detection rules as core fraud detection rules, and the fraud detection system can automatically populate new merchant profiles with the user's core fraud detection rules.

Embodiments of the invention are directed to a fraud detection system that records an audit log of modifications made by a user to a selection of fraud detection rules in a merchant profile. The audit log contains details of the modifications and the user associated with the modifications. A search can be conducted on the audit log to determine details of modifications made to a merchant profile within the fraud detection system.

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Mountain View, CA, United States of America

B Scott Boding