Mastercard International Incorporated

Sachin Kumar Singh

Kaushal Naveen Shetty

Venkata Satya Sivajee Pinnamaneni

Ajay Sinha

Rajesh Krishna Sadanand

Hemant Arora

Sandeep Parvathareddy

Rajeev Kumar

Kumar Abhinav

Amandeep Batra

Kaushal Shetty

An audio file authentication system configured to extract a plurality of audio features for a plurality of raw audio files containing a digital recording of a specific user's voice, provide an authenticated audio file that includes a digital recording the specific user's voice based on the authentication information for the specific user, generate a parent hash key and sequential child hash keys that are unique to the authenticated audio file, and generate a processed audio file in which the parent hash key and each of the sequential child hash keys is inserted sequentially as data within the audio gaps of the audio file.

System and method for authentication of processed audio files

A system and method for verifying a signature in real-time when authenticating a card-based transaction. Initially, a digital reference signature is captured on a mobile device, sent in hashed form to a rules engine, and evaluated for features such as length, time, orientation, area, and pressure changes. Subsequently, a digital transaction signature is captured on a POS terminal, sent in hashed form to the rules engine via an acquirer, and evaluated for the same features. The rules engine compares the features of the signatures. If the transaction signature is verified, the rules engine sends an authentication token to the acquirer, and the acquirer sends the token and an authorization request to an issuer. If not, the acquirer sends a denial message to the merchant. If the power level of the POS terminal is insufficient to properly capture the transaction signature for effective evaluation, then an alternative authentication method is used.

System and method for verifying signature when authenticating card-based transaction

A device and method of authentication includes pairing a card to a mobile electronic device and a wearable device. A machine learning model is trained by obtaining first received signal strength indicator (RSSI) data from the card, the mobile electronic device, and the wearable device at calibrated distances. A first estimated proximity radius encompassing the card, the mobile electronic device, and the wearable device is calculated. The first estimated proximity radius is classified to be within a threshold. Upon receipt of a request to authorize a request, second RSSI data from the card, the mobile electronic device, and the wearable device is obtained. A second estimated proximity radius encompassing the card, the mobile electronic device, and the wearable device is calculated. Using the trained machine learning model, the second estimated proximity radius is determined to be within the threshold. Authentication is then complete.

Machine learning for authentication based on device proximity

The disclosure describes systems and techniques for assessing risk of an open Wi-Fi network, at a consumer's request, before the consumer performs a transaction. The system receives a Wi-Fi network risk assessment request associated with a Wi-Fi network connection of a mobile device. Upon receiving the request, the system retrieves connection-related data from the mobile device. The connection-related data is associated with the Wi-Fi network connection. The system performs a Wi-Fi risk assessment of the Wi-Fi network connection. The system transmits a result of the risk assessment to the mobile device for presentation on the mobile device. The system also transmits the result of the risk assessment to an issuer server. The issuer server is associated with a payment account of the consumer. Moreover, the system transmits a step-up authentication alert to the issuer server.

Methods and systems for smart identification and step-up authentication

A computer system includes a processor programmed to process a first web page to identify a hyperlink contained thereon. The hyperlink includes a link to a second web page. The processor performs natural language processing on the first web page to determine one or more context word tokens and on the second web page to determine a context of the second web page. The processor also applies a context relevant tag to the hyperlink to generate a tagged hyperlink. The processor maps at least one of the context word tokens to the context relevant tag applied to the hyperlink and generates a transaction score for the tagged hyperlink.

Methods and systems for enhancing purchase experience via audio web-recording

A system for identifying genuine user-merchant association. The system includes one or more processors and/or transceivers individually or collectively programmed to check the validity or expiration of a certificate from a device from which a request originates to create a certificate score, analyze previous communication from the device from which the request originates across a plurality of entities and regions to create a previous communication score, and conduct a messaging protocol check to create a protocol score. The one or more processors and/or transceivers are also programmed to output a weighted final score comprising a determination of whether to accept or deny the request based at least in part on one or more of the certificate scores, the previous communication score, or the protocol score. The one or more processors and/or transceivers are also programmed to save the weighted final score.

Computer-implemented methods and systems for authentic user-merchant association and services

Embodiments provide methods and systems for analyzing device behavior data in multi-factor authentication (MFA) process. The method includes receiving, by a server system, a request in association with a payment transaction between a cardholder and a merchant. The request includes a cardholder identifier and information of a successful verification of a user input entered by the cardholder to perform MFA of the payment transaction. The method includes identifying user profile data stored in a database based on the cardholder identifier. The user profile data includes information of a plurality of registered user devices associated with the cardholder. The method includes performing device behavioral analysis of one or more user devices. The method includes generating an MFA token associated with the payment transaction based on the device behavioral analysis. The method includes transmitting the MFA token for authorizing the payment transaction to a payment server associated with a payment network.

Methods and systems for multi-factor authentication based payment

A method for facilitating payment transactions includes receiving, by a server, a flash code request indicative of a transaction amount. A flash code associated with the transaction amount is communicated by the server to the payer device. The flash code is encoded into a flash pattern at the payer device and communicated to a payee device of a payee for executing a payment transaction between the payer and the payee. A first request for the payment transaction is received by the server from the payee device. The first request includes the flash code obtained by decoding the flash pattern at the payee device. The flash code included in the first request is validated by the server. Based on successful validation of the flash code, the transaction amount is deducted from a payer account of the payer and credited to a payee account of the payee.

Method and system for facilitating secure payment transactions

Registering a biometric template with a computing device includes receiving a first scan of a biometric feature from a biometric sensor. The first scan includes first biometric data. The computing device extracts two or more distinct elements of the biometric feature and writes a biometric template to a memory. The first characterization data for each of the two or more distinct elements is recorded in the biometric template. After recording the first characterization data in the biometric template, the computing device receives an additional scan of the biometric feature from the biometric sensor. The additional scan includes second biometric data. The computing device validates the biometric template against the second biometric data. After validating the biometric template, the biometric template is updated with second characterization data. The second characterization data is associated with two or more additional distinct elements of the biometric feature contained in the second biometric data.

Systems and methods for preventing biometric infringement

Systems, apparatuses and methods may provide for technology to store hardware details associated with a plurality of hardware components of a computing device. The technology further extracts a first hardware identifier from first authentication data received from the computing device, where the first hardware identifier is associated with a first hardware component of the computing device, and determines whether to validate the first hardware component based on a comparison of the first hardware identifier to a first hardware detail of the hardware details.

Apparatus, system and method for on-device mutlifactor authentication security

A method for adapting text message communications in electronic financial transactions to accommodate users with color vision deficiency. During a registration process, a primary account number, a selection of an enrollment in a color vision deficiency accommodation service, a selection of a preferred critical text color, and an electronic device identifier are received from a user. During a subsequent electronic card present transaction process, the primary account number and the electronic device identifier are received from the user via a payment gateway webpage. During an adaptation process, a text of a message containing a critical text element communicated to the user regarding the transaction is adapted by presenting the critical text element in the preferred critical text color previously selected by the user. The message may be adapted within a template, or the message may be dynamically adapted by searching the message and identifying the critical text element.

Systems and methods for accommodating color vision deficiency in financial transaction messages

The disclosure describes techniques for authenticating a voice command transaction initiated by a consumer at a voice-activated digital assistant. The system determine a proximity score for a consumer device. The proximity score is based on a distance between the consumer device and the digital assistant. The system detects motion indicating presence of a person proximate the digital assistant (based on wireless signal data) and determines a motion score. The system receives voice data from the digital assistant and determines a voice differentiation score. The system determines a rank score for the consumer device based on historical transaction data associated with the device. The system analyzes the proximity score, motion score, voice differentiation score, and rank score using a voice command authentication model. Based on the analysis, the system determines an authentication score for the voice command transaction request.

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Pune, India

Sachin Kumar Singh