Mastercard International Incorporated

Mastercard Technologies Canada Ulc

David J Senci

Kyle Williams

Michelle L Hafner

Peng Yang

Brett J Thomson

Jason A Thomas

Todd Woodruff

Samy Shihab

Christopher Bailey

John Hearty

Ravi Santosh Arvapally

Laurie Ann Nicoletti

Johan Gerber

Michael J Pope

John R Larko

Blake Gibbons

Robert W Capps, Ii

Paige Fogarty

John Robert Hierholzer

Ryan Brough

Matt Scott Morice

David Adams

A passive Multi-Factor Authentication (MFA) system includes a passive MFA server that receives, from a user computing device, passive biometrics data and device data collected during a current session on a remote site; submits the passive biometrics data to a user profile model, and in response receives a user authentication confidence score; and submits the device data to a device profile model, and in response receives a device authentication confidence score. The passive MFA server is also configured to receive a user authentication request for a current payment transaction associated with the current session on the remote site, and transmit the user authentication confidence score and the device authentication confidence score to an Access Control Server (ACS) configured to determine that the scores satisfy a predefined threshold for passively authenticating a user of the user computing device during the current session, without conducting an active authentication process with the user.

Systems and methods for passive multi-factor authentication of device users

A computer-implemented method for isolating transaction records having deficient standard data elements. The method may include: acquiring a first transaction record corresponding to a transactional entity, the first transaction record including a set of standard data fields in a first state; acquiring a second transaction record corresponding to the transactional entity, the second transaction record including the set of standard data fields in a second state; analyzing the first state and the second state to identify a deficiency of the standard data fields of one or both of the first transaction record and the second transaction record, the deficiency corresponding to a misclassification of an installment payment transaction of the transactional entity; and storing a record of the misclassification, the record identifying one or both of the first transaction record and the second transaction record.

Computer-implemented system and method for isolating payment messages having deficient standard data elements

A computer-implemented method for enhancing authorization of prepaid payment cards is provided. The method is implemented using an interchange network and an authorization computing device in communication with a memory. The method includes routing communications between a plurality of merchants and a plurality of issuing banks, providing transaction data for transactions by a plurality of prepaid payment cards, storing a plurality of transaction histories associated with the plurality of prepaid payment cards, receiving, over the interchange network, an authorization request for a payment transaction between a cardholder and an originating merchant initiated using a prepaid payment card, determining a likelihood of a second amount for a related payment transaction from the originating merchant, determining a transaction history associated with the prepaid payment card, determining whether there are sufficient funds associated with the prepaid payment card for the first and second amounts, and notifying the originating merchant of the determination.

System and methods for enhanced authorization of prepaid cards

Embodiment described herein provide a system for authenticating an identity of a user. The system includes a first device, a second device, a user device, and a remote computing device. The first device, the second device, and the user device are connected to and operable to communicate over the first communications network. The user device is connected to and operable to communicate over a second communications network. The user device is configured to detect the first device or the second device when the first device or the second device is connected the first communications network, and to generate one or more signals related to the detection of the first device or the second device. The remote computing device is configured to receive the one or more signals from the user device and authenticate the identity of the user based on the one or more signals.

Systems, methods, computer-readable media, and devices for authenticating users

An insight data computing system for generating a pre-chargeback record for a payment transaction between a customer and a merchant is provided. The payment transaction is authorized over a payment processing network based on transaction data submitted over the payment processing network. The transaction data is stored by the payment processing network in a historical transaction database. The insight data computing system includes an insight data interface computing device programmed to (i) receive, via an insight communication channel other than the payment processing network, an insight data message including insight data and transaction link data, (ii) store the insight data in an insight database, (iii) link the insight data to the transaction data by matching the transaction link data in the insight data to the transaction data in the historical transaction database, and (iv) generate the pre-chargeback record including the transaction data and the linked insight data.

Systems and methods for generating pre-chargeback dispute records

Described herein is a data optimization computer system for optimizing transaction authorization request messages directed to an authorizing party. The computer system includes a historical transaction database, a merchant database, and a data optimization computing device. The historical transaction database stores a plurality of historical transaction records. The merchant database stores a first merchant registered with the optimization computer system. The data optimization computing device may analyze at least a subset of the historical transaction records to generate a set of optimization rules. The set of optimization rules identifies optimal values for an optimized transaction authorization request message. The optimized transaction authorization request message may be associated with an improved likelihood of resulting in a positive request outcome.

Systems and methods for optimizing transaction authorization request message to reduce false declines

Described are systems and methods for transferring a token between mobile computing devices. A token transfer processing computing device includes a memory device for storing data and a processor in communication with the memory device. The processor is programmed to receive a token transfer message. The token transfer message includes a current device identifier associated with a current mobile device having an original token associated therewith for initiating secure payments using the current mobile device, and a new device identifier associated with a new mobile device replacing the current mobile device. The processor is further programmed to perform a lookup in a device-to-token mapping table to identify the original token associated with the current mobile device. The processor further generates an updated token associated with the payment account and transmits a token transfer response to the new mobile device. The token transfer response includes the updated token.

Systems and methods for token transfer between mobile computing devices

A computer-implemented method for identifying errors in transaction messages associated with payment transactions. The method includes a step of receiving a transaction message associated with a financial transaction, whereby the financial transaction originates from a merchant and is processed by an acquirer. The transaction message comprises a plurality of data element fields, with at least one of the data element fields being a merchant identification field used to identify the merchant originating the financial transaction. An additional step includes performing an error-identification routine on the transaction message, with the error-identification routine including analyzing a merchant identification (ID) data element populated in the merchant identification field to determine if the merchant ID data element is not uniquely associated with the merchant. An additional step includes generating an error message indicating that the merchant ID data element is not uniquely associated with the merchant, and transmitting the error message to the acquirer.

Systems and methods for identifying errors in transaction messages

A computing system for validating repeating data is described. The computing system includes at least one computing device including at least one processor communicatively coupled to a database. The at least one processor is programmed to receive a first instance of data, the first instance of data including first repeating data elements, and store, in the database, the first repeating data elements. The at least one processor is also programmed to receive a second instance of data, the second instance of data including second repeating data elements, determine the second instance of data includes the second repeating data elements, and compare the second repeating data elements to the first repeating data elements. The at least one processor is further programmed to determine the second repeating data elements are inconsistent with the first repeating data elements and transmit a signal associated with the second repeating data elements.

Systems and methods for validating repeating data

A computer-based method for identifying a user computing device used in a fraudulent transaction is provided. The method includes receiving device data associated with the user computing device during a first payment transaction initiated from the user computing device, wherein the device data is capable of uniquely identifying the user computing device. The method further includes storing the device data within the at least one memory device, and receiving an indication that the first payment transaction initiated from the user computing device was fraudulent. The method further includes assigning a risk factor to the user computing device, and transmitting the risk factor to a merchant, wherein the merchant uses the risk factor to determine whether to process a resale transaction initiated from the user computing device wherein the resale transaction is associated with a resale of goods acquired in association with the first payment transaction.

Systems and methods for identifying devices used in fraudulent or unauthorized transactions

An auto-enrollment billing updater (AEBU) computing device for enrolling enrollees in an automatic updating program is provided. The AEBU computing device is configured to receive, from an acquirer computing device, an account update request for updated account data for a set of account identifiers including an input acquirer identifier and an input merchant identifier, perform a lookup within a transaction database using a combination of the input acquirer identifier and the input merchant identifier, wherein the transaction database includes transaction data involving a plurality of cardholders and a plurality of merchants, identify as a merchant enrollee the merchant included within the transaction database having a stored acquirer identifier and a stored merchant identifier combination that matches the input acquirer identifier and the input merchant identifier combination included in the request, and automatically enroll the merchant enrollee in the automatic updating program when the merchant enrollee is identified.

Automated enrollment of a user in an automatic updating program

A system for building a data table of travel-related data and using the data table to reduce false declines when processing payment transactions is provided. The system includes a travel identifier (TI) computing device configured to receive transaction data that includes travel-related data and cardholder identifiers, the transaction data associated with transactions initiated by a cardholder, identify the travel-related data for the cardholder, and build a data table for storing one or more records within an itinerary data source using the travel-related data. The TI computing device is also configured to receive current transaction data for a current transaction initiated by the cardholder including a current transaction location and a current transaction date. The TI computing device is further configured to authenticate the current transaction data by electronically matching the current transaction location and the current transaction data to the data table stored in the itinerary data source.

Systems and methods for building a data table to reduce false declines over a network

A computer-implemented method for enhancing authorization of prepaid payment cards is provided. The method is implemented using an authorization computing device in communication with a memory. The method includes storing a plurality of transaction histories associated with a plurality of prepaid payment cards, receiving an authorization request for a payment transaction between a cardholder and an originating merchant initiated using a prepaid payment card, determining a transaction history associated with the prepaid payment card based on the plurality of transaction histories, calculating a prepaid risk score for the payment transaction based on the authorization request and the determined transaction history, and transmitting the prepaid risk score to the originating merchant.

A capacity analysis computing device for determining a restaurant capacity level is provided. The capacity analysis computing device is configured to store historical transaction data for a restaurant for a period of time, and analyze the historical transaction data to identify a maximum restaurant capacity for the restaurant over the period of time. The capacity analysis computing device is also configured to receive, from a user computing, a selected time interval for which a current capacity level is to be determined. The capacity analysis computing device is further configured to identify a similar historical time interval to the selected time interval, and determine a historical capacity level for the restaurant during the similar historical time interval. The capacity analysis computing device is further configured to assign the historical capacity level as the current capacity level for the restaurant, and display the current capacity level on the user computing device.

Growing community of inventors

Troy, IL, United States of America

David J Senci