Mastercard International Incorporated

Pedro J Chavarria

Kristofer D Perez

Marek Kurylko

Joseph Damon Hayes

Sharath Sahadevan

Eugene Reda

John Mwangi

Gagan D Singh

A privacy filter for internet of things (IOT) devices and can include a processor, a profile resource, a device interface, an external network interface, and a storage having instructions for filtering processes and encoding processes (e.g., appropriate processes of a software development kit (SDK)). The privacy filter can receive a payload comprising audio content from a connected device; obtain filter criteria for the connected device; identify portions of the payload satisfying the filter criteria; and affect audio of the audio content corresponding to the identified portions of the payload. after affecting the audio, the privacy filter can reassemble the payload according to an IOT provider SDK and can communicate the reassembled payload to an IOT provider service.

Privacy filter for internet-of-things (IOT) devices

Apparatus and methods for providing a digital card asset construction service. In and embodiment, a digital card asset service computer provides access to a digital card asset application user interface (API) to an issuer device, then receives a request from a user to construct or update a digital payment card product and receives card art data for the digital payment card product responsive to one or more queries presented by the digital card asset API. The process also includes receiving, by the digital card asset service computer from the issuer device, digital payment card product characteristics data responsive to at least one digital payment card product characteristic query, transmitting computer executable instructions to the issuer device for rendering an image of a payment card on a display screen of the issuer device as the user inputs data, then receiving an indication that the user is finished inputting data, and lastly storing a payment card product data file that includes card art data and payment card product characteristics data to a cloud service.

Payment card asset construction service

A method for securing a laptop computer device using a security management computing device includes receiving a request for a secure token, the request including (i) a device unique identifier associated with the laptop computer device, and (ii) a context unique identifier associated with a context of using the laptop computer device to initiate data communications. The method also includes generating a secure token associated with both the laptop computer device and the context of using the laptop computer device, such that the secure token is usable only within the context, and transmitting the secure token to the laptop computer device.

Systems and methods for securing a laptop computer device

A method for subverting open transmission of personally identifiable information through the use of tokenization includes: receiving a token request from an issuing financial institution; identifying a digital token; mapping the identified digital token to a primary account number; transmitting the identified digital token to the issuing financial institution; receiving a data request from a third party, wherein the data request includes the identified digital token; replacing the identified digital token in the data request with the mapped primary account number; transmitting the data request including the mapped primary account number to the issuing financial institution; receiving a data package including one or more items of personally identifiable information; and forwarding the data package.

Method and system for personally identifiable information

A method for product identification based on physiological response includes: displaying a plurality of display screens over a period of time, wherein at least one display screen includes one or more displayed products; storing a display time for each displayed product corresponding to a time of the period of time at which the displayed product and the respective display screen is displayed on the display device; receiving a plurality of physiological measurements over the period of time for a first physiological function of a user of the computing device; detecting a change in the first physiological function based on the plurality of physiological measurements and a change time for the detected change; identifying a specific displayed product based on a correspondence between the respective display time and the detected change time; and transmitting product data associated with the specific displayed product.

Method and system for consumer purchase using physiological change monitoring

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.

Systems and methods for monitoring payment transactions for fraud using social media

A computer-implemented method for recommending a merchant based on transaction data is provided. The method is implemented using an analyzer computing device in communication with one or more memory devices. The method includes generating a profile indicating a stage of life of a cardholder, based at least in part on first transaction data stored in the one or more memory devices. The first transaction data is associated with one or more purchases made by the cardholder through a payment network. The method additionally includes retrieving, from the one or more memory devices, second transaction data associated with a plurality of sales from a first merchant, determining a transaction volume associated with the first merchant, and generating a recommendation for the cardholder to purchase goods from the first merchant, based at least in part on the determined transaction volume and the profile.

Method and system for recommending a merchant based on transaction data

A computer-implemented method for estimating a price of a candidate trip based on transaction data is provided. The method includes generating a profile associated with a first cardholder, based at least in part on stored first transaction data associated with one or more purchases made by the first cardholder through a payment network. The profile indicates a spending trend of the first cardholder. The method additionally includes determining a price paid by at least a second cardholder for a reference trip, based at least in part on second transaction data stored in one or more memory devices. The second transaction data is associated with purchases made by the second cardholder through the payment network during the reference trip. Additionally, the method includes determining an estimated price for the candidate trip for the first cardholder by adjusting the price paid based at least in part on the spending trend of the first cardholder.

Method and system for estimating a price of a trip based on transaction data

A computer implemented method for categorizing neighborhoods based on cardholder transactions is provided. The method is implemented using a computing device having a processor communicatively coupled to a memory. The method includes receiving a plurality of payment transactions from a plurality of cardholders, generating a list of cardholders based on the plurality of payment transactions, determining one or more life stage segments for each cardholder based on the plurality of payment transactions, determining one or more geographic regions based in part on the plurality of payment transactions where each geographic region contains a plurality of cardholders, determining a lifestyle category for at least one geographic region of the one or more geographic regions based on the one or more life stage segments of each of the cardholders associated with the corresponding geographic region, and providing a lifestyle report for the at least one geographic region.

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Hampton Bays, NY, United States of America

Pedro J Chavarria