SYSTEMS AND METHODS FOR MONITORING PAYMENT TRANSACTIONS FOR FRAUD USING SOCIAL MEDIA

摘要

A computer-implemented method for detecting fraudulent payment transactions performed over a payment network is provided. The method includes receiving, by a fraud monitoring device, a request to determine whether a payment transaction initiated using a payment card of a cardholder is fraudulent, wherein the request includes at least one of a merchant identifier, a merchant location, a cardholder identifier, and a transaction timestamp, associating the cardholder with a social media account based on the cardholder identifier, and receiving the social media location data from a social media computing device. The social media location data indicates a location of the cardholder at a particular time. The method also includes calculating a distance between the merchant location and the location of the cardholder indicated by the social media location data, and a time between the transaction timestamp and the particular time associated with the social media location data.

主权项

1. A computer-implemented method for detecting fraudulent payment transactions performed over a payment network, said method implemented using a fraud monitoring device in communication with a memory, said method comprising:
receiving, by the fraud monitoring device, a request to determine whether a payment transaction initiated using a payment card of a cardholder is fraudulent, wherein the request includes at least one of a merchant identifier, a merchant location, a cardholder identifier, and a transaction timestamp; associating the cardholder with a social media account that is associated with a social media computing device based on the cardholder identifier; receiving, by the fraud monitoring device, social media location data from the social media computing device, wherein the social media location data indicates a location of the cardholder at a particular time; and calculating a distance between the merchant location and the location of the cardholder indicated by the social media location data, and calculating a time between the transaction timestamp and the particular time associated with the social media location data.