Mastercard International Incorporated

Mastercard International Incorpoated

Mastercard Internatioanl Incorporated

Ankur Arora

Jaipal Singh Kumawat

Chandan Garg

Aditya Koduri

Shreya Mittal

Rakesh Kumar Patel

Vikas Bishnoi

Shuvam Sengupta

Gaurav Dhama

Amit Gupta

Hardik Wadhwa

Shashank Kumar Trivedi

Nishant Maheshwari

Manish Kumar

Shubham Bijawat

Anurag Aggarwal

Navneet Kumar

Puneet Vashisht

Shweta Khattar

Teja Chebrole

Sourabh Kumar Maheshwari

Ankur Dua

Manoneet Kohli

Rick Unnerstall

Shubham Kumar

Yatin Katyal

Ankur Saraswat

Debasmita Das

Ganesh Nagendra Prasad

Ved Pratap Singh Chauhan

Shubhangi Sengar

Deepak Yadav

Avinash Kumar

Pulkit Gupta

Lakshmi Sushma Daggubati

Sri Chaitanya Sanaboina

Rajesh Chopra

Apoorva Dixit

Puneet Keshtwal

Shashank Dubey

Shubham Jain

Kanishka Kayathwal

Tushar Rungta

Priyanka Taneja

Shreyansh Singh

Siddharth Vimal

Jessica Carta

Anisha Garg

Blessy Vohra

Manjeet Singh

A method for dynamic selection of transactions for inclusion in new blocks added to a blockchain includes: receiving, by a blockchain node in a blockchain network that manages a blockchain, a plurality of proposed transactions; sorting, by the blockchain node, each proposed transaction into one of a plurality of transaction groups; identifying, by the blockchain node, a selection of proposed transactions based on one or more dynamic selection criteria, where the selection of proposed transactions includes one or more proposed transactions from one or more of the plurality of transactions groups based on the one or more dynamic selection criteria; generating, by the blockchain node, a new block including a new block header and the identified selection of proposed transactions; and distributing, by the blockchain node, the generated new block to a plurality of additional nodes included in the blockchain network.

Method and system for dynamic addition of blocks in a blockchain

A method for delivering encrypted data through a blockchain with limited transferability includes: receiving, by a receiver of a blockchain node, a transfer submission including at least a transfer token, a recipient address, and an encrypted data message; determining, by a processor of the blockchain node, a number of past transfers for the transfer token in a blockchain associated with a blockchain network that includes the blockchain node; validating, by the processor of the blockchain node, that the transfer token is eligible for an additional transfer based on at least the number of past transfers; generating, by the processor of the blockchain node, a blockchain data value including at least the encrypted data message, the transfer token, and the recipient address; and transmitting, by a transmitter of the blockchain node, the generated blockchain data value to one or more additional nodes included in the blockchain network.

Method and system for control of PII through limiting transfers on blockchain

Recommendations of one or more authorizing components are provided to issuers and/or merchants for enhancing approval rates of payment processing requests. A server system receives a payment authorization request for a payment transaction between a cardholder and a merchant in real time. Payment transaction features associated with the payment transaction are identified based on the payment authorization request. A combination of one or more authorizing components to be applied to the payment transaction is predicted to obtain a product recommendation strategy for the payment transaction. The combination of one or more authorizing components is predicted based on a trained machine learning model and the payment transaction features. The payment authorization request and the product recommendation strategy are transmitted to an issuer associated with the cardholder.

Artificial intelligence based product recommendation methods and systems for enhancing approvals of payment processing requests

The disclosure relates to AI-based machine-learning and natural language modeling to identify semantic similarities between sets of content having natural language text. For example, a system may generate a relevance classification that indicates whether content such as articles are non-specifically relevant to charities without identifying a particular charity. If the content is non-specifically relevant to charities, the system may apply a natural language model to generate sentence embeddings based on the content and determine a level similarity between the sentence embeddings and a query embedding generated from a charity query. The charity query may itself be generated from a full description of the charity through an encoder-decoder architecture with reinforcement learning.

Recommending the most relevant charity for a news article

A method for improving consensus in a blockchain network through decentralized grouping includes: identifying, by each node of a plurality of nodes in a blockchain network that manages a blockchain, a plurality of groups, where each is comprised of a subset of nodes; generating, by each node in each subset of nodes, a new block for the blockchain; performing, by each subset of nodes, a first consensus operation among all nodes in the subset of nodes for the new block generated by in the subset of nodes to identify a group consensus block, where each node in the subset of nodes receives the group's group consensus block; and performing, by the blockchain network, a second consensus operation among all groups for the identified group consensus block to identify an overall consensus block, where a majority of groups of the plurality of groups receives the overall consensus block.

Method and system for grouping of blockchain nodes

A method for processing a multi-account check includes: receiving a first authorization request including a transaction amount, an account identifier, and a check number; identifying a blockchain associated with the account identifier including a plurality of blocks, each block including a block header and blockchain data values, and a blockchain data value included in one of the blocks including the check number; generating two or more additional authorization requests including a payment amount, an alternate account number, and an alternate check number, where the alternate account number included in each of the additional authorization requests is unique among the additional authorization requests and a total of the payment amount included in the additional authorization requests is based on the transaction amount; and transmitting each of the additional authorization requests to a financial institution associated with the alternate account number included in the respective additional authorization request.

Method and system for multi-account check processing via blockchain

Embodiments provide methods and systems for merchant data cleansing in payment network. Method performed by server system includes accessing electronic payment transaction records from transaction database. Each electronic payment transaction record includes merchant data fields. Method includes determining set of electronic payment transaction records with ambiguous merchant data fields having matching probability scores less than predetermined threshold value computed by probabilistic matching model and identifying at least one issue for non-matching of each of set of electronic payment transaction records. Method includes determining data model based on at least one issue of each of set of electronic payment transaction records. Data model is one of: phone-to-city model, payment aggregator model, and merchant name normalization model. Method includes updating set of electronic payment transaction records with unambiguous merchant data fields corresponding to ambiguous merchant data fields by applying data model to each of set of electronic payment transaction records.

Server systems and methods for merchant data cleansing in payment network

A method for generating digital certificates for anonymous users in blockchain transactions includes: storing a blockchain comprised of a plurality of blocks, each block including a block header and transaction values, where each transaction value includes data related to a blockchain transaction including a sending address, recipient address, and transaction amount; receiving a certificate request from a computing device, the request including a user public key of a cryptographic key pair; identifying a subset of transaction values in the blockchain where the sending address or recipient address was generated using the user public key; determining a confidence level based on the data included in each transaction value included in the subset; generating a digital certificate based on the determined confidence level; and transmitting the generated digital certificate to the computing device.

Method and system for trustworthiness using digital certificates

A method for preventing unauthorized repeat purchases of a product includes: storing a plurality of purchase data values, each related to a completed financial transaction and including a purchase identifier; receiving an authorization request for a new financial transaction from an external system, the authorization request including a specific identifier; identifying a number of purchase data values where the included purchase identifier matches the specific identifier; and transmitting an authorization response to the external system, the authorization response including (i) an approval of the new financial transaction if the number of purchase data values is below a predetermined number, or (ii) a denial of the new financial transaction if the number of purchase data values is equal to or above the predetermined number.

Method and system for employing blockchain for fraud prevention in bulk purchases

A method for detecting fraudulent transactions includes generation of a graph including a plurality of nodes and a plurality edges between the plurality of nodes based on historical transaction data of a plurality of historical transactions. The plurality of nodes include a set of merchant nodes and a set of consumer nodes. A set of static features and a plurality of dynamic features are determined based on the historical transaction data and the generated graph, respectively. A neural network is trained based on the set of static features and the plurality of dynamic features for detection of transaction fraud. The neural network is used to detect a first transaction as one of a fraudulent transaction or a legitimate transaction based on first transaction data of the first transaction.

Method and system for detecting fraudulent transactions

A method for optimized validation of a blockchain transaction through the use of a parallel database and date management includes: receiving a new blockchain transaction that includes unspent transaction outputs; identifying, in a parallel database, a start date for a blockchain wallet involved in the new transaction; identifying a subset of blocks in the blockchain that have been added to the blockchain since the start date; validating the new blockchain transaction by validating the unspent transaction outputs using the subset of blocks; and, if the validation is successful, adding the new transaction to the blockchain, or, if the validation is unsuccessful, notifying the submitter of the failed validation.

Method and system for optimizing blockchain parsing using a wallet's static characteristics

A method for risk scoring a blockchain transaction includes: storing blockchain data associated with a blockchain, the data including a plurality of blocks, each block including a block header and transaction values, each transaction value including a sending address, recipient address, and transaction amount; receiving a new transaction value related to a proposed blockchain transaction and a node identifier associated with a node included in a blockchain network associated with the blockchain, the new transaction value including a user address, transacting address, and blockchain amount; identifying transaction values in the blockchain where the sending address or recipient address is associated with a transacting cryptographic key pair also associated with the transacting address; determining a risk score for the proposed blockchain transaction based on at least the data included in each of the identified transaction values and the new transaction value; and transmitting the determined risk score.

Method and system for risk scoring anonymized transactions

A method for conveyance of payment credentials through a third party data source includes: storing, in a memory of a computing device, at least a first public key and payment credentials associated with a transaction account; generating, by a generation module of the computing device, a machine-readable code encoded with at least the first public key; displaying, by a display device interfaced with the computing device, the generated machine-readable code; generating, by the generation module of the computing device, a key pair comprised of at least a private key and a second public key; encrypting, by an encryption module of the computing device, the payment credentials using the private key; and electronically transmitting, by a transmitting device of the computing device, the encrypted payment credentials to a publicly accessible data source.

Method and system for payment card verification via blockchain

A method for offline transmission of blockchain details includes: storing, in a computing device, a first private key and a currency amount; receiving a first destination address associated with a blockchain network and a transaction amount; generating a second private key; generating a second destination address associated with the blockchain network using the second private key; generating a blockchain transaction including at least the first destination address, the transaction amount, the second destination address, and a remainder amount based on at least the currency amount and the transaction amount; signing the generated blockchain transaction using the first private key; executing a query to replace the first private key with the second private key, wherein replacement of the first private key includes deletion of the first private key from the computing device; and transmitting the generated blockchain transaction.

Method and system for offline data transfer via machine-readable code

Methods, systems and computer program products for selectively providing authenticated data corresponding to a payment card holder at a point-of-sale (POS) terminal are described. The method can include receiving from a terminal device, payment card account information comprising a payment card account identifier and user authentication information. Responsive to the received user authentication information matching one of a plurality of predefined authentication keys associated with the payment card account identifier, a predefined function is selected from among at least first and second predefined functions associated with the payment card account identifier&#x2014;wherein the selection of the predefined function from among the first and second predefined functions is based on an association between the selected predefined function and an authentication key that has been matched with the received user authentication information.

Methods, system and computer program product for selectively responding to presentation of payment card information

Growing community of inventors

New Delhi, India

Ankur Arora