G06Q20/3676

METHOD AND SYSTEM FOR TRUST-BASED PAYMENTS VIA BLOCKCHAIN

A method for processing a trust-based transaction via a blockchain includes: receiving data associated with a proposed trust-based transaction including at least a transaction amount, payment data, and a broker identifier; processing payment for the transaction amount using the payment data; identifying a blockchain address associated with a broker corresponding to the broker identifier; generating a digital token, wherein the digital token is unique to the proposed trust-based transaction; electronically transmitting the generated digital token to a first computing device; and electronically transmitting at least the transaction amount, blockchain address, and at least one of: the generated digital token and data used to generate the generated digital token to a node associated with a blockchain network.

MOBILE TERMINAL AND METHOD FOR CONTROLLING SAME

Disclosed are a mobile terminal and a method of controlling the same. In the mobile terminal, when battery off is detected, a predetermined card is recharged with a predetermined amount before a super-power saving payment mode is entered. Furthermore, when the amount of remaining battery power is a specific threshold or more, the super-power saving payment mode is terminated and a recharged amount is refunded. An amount of a recharged amount used for payment in the super-power saving payment mode may be subjected to deferred payment. Accordingly, a mobile payment function can be smoothly performed in an emergency situation in which the battery is off. Furthermore, in the super-power saving payment mode, security can be enhanced through a local authentication method.

COMPREHENSIVE TAX RETURN PREPARATION SYSTEM
20190172153 · 2019-06-06 ·

Methods, systems, and apparatus for facilitating interactions between a taxpayer and a tax preparer. The system includes a taxpayer client device configured to provide a graphical user interface to a user for receiving and displaying data in a consistent manner. The system also includes a signature unit configured to receive taxpayer signature data from the taxpayer client device via the graphical user interface. The system also includes a document upload unit configured to receive tax document data from the taxpayer client device via the graphical user interface. The system also includes a secure messaging unit configured to facilitate securely exchanging messages between devices. The system also includes an E-File authorization unit configured to receive taxpayer E-File authorization data from the taxpayer client device via the graphical user interface. The system also includes a payment unit configured to receive payment data from the taxpayer client device via the graphical user interface.

Method, system, and graphic user interface for enabling a customer to access an unpublished media file

A method, system, GUI, apparatus, and computer readable media for enabling a customer to access to an unpublished media file uploaded by an artist are provided. An artist's profile may be hosted on, for example, a web site, SMS/MMS gateway, and a WAP site. A previously unpublished media file may be received from the artist based on a publish option of listed unpublished media content and may be uploaded to the user profile. The unpublished media file may be associated with the artist's account. A request to access the media file may be received from a customer. An account associated with the customer may be updated to indicate their requested access to the media file. The customer may then be enabled to access the media file. The user's account may be updated to indicate the transaction.

BLOCKCHAIN HOSTED MACHINE LEARNING
20240211901 · 2024-06-27 ·

Disclosed are various embodiments for providing machine learning services to users of a blockchain network. A machine learning model can be hosted off the blockchain. A smart contract can then be deployed to the blockchain. The smart contract can include a reference to the machine learning model and weighted values that can be used by the machine learning model to make classifications. Successful machine learning models will tend to accumulate more cryptocurrency coins or tokens due to their continued use and execution, allowing for an orchestration service to identify successful sets of weighted values that can be adjusted as the basis for attempting to evolve better sets of weighted values for better performance by the machine learning model.

SHAREABLE AND NESTED TRANSACTIONS ON HASH CHAINS
20240193588 · 2024-06-13 · ·

A method for using shareable and nested transactions on hash chains includes appending a data block of a transaction of a first hash chain to a second hash chain. The second hash chain originates from a tail block of the first hash chain. The method further includes removing the data block from the transaction by setting a tail block identifier of the second hash chain to a previous block appended to one of the first hash chain and the second hash chain prior to the data block. The method further includes updating the transaction with updated transaction data by setting the tail block identifier of the second hash chain to the updated data block. The method further includes appending the second hash chain to the first hash chain by setting the tail block of the first hash chain to the tail block of the second hash chain.

Cryptocurrency transactional systems and methods
12027014 · 2024-07-02 ·

A secure cryptocurrency transfer system between an electronic gaming machine and a cryptowallet.

Mobile wallet using math based currency systems and methods
12008525 · 2024-06-11 · ·

Embodiments include a method of transferring math-based currency (MBC) funds from a source account associated with a customer computing device to a recipient account associated with a merchant computing system at a merchant physical location comprising a reading device for payment instrument. The method includes receiving a request for an MBC transaction token, generating the MBC transaction token, sending the MBC transaction token to the customer computing device. The method further includes receiving, from the merchant computing system, the MBC transaction token, determining the MBC transaction token is associated with the mobile wallet account, creating a public and private key pair for the MBC transaction. The method further includes signing and broadcasting the MBC transaction to MBC verification nodes, determining the MBC transaction was verified, transmitting an approval message.

SYSTEMS AND METHODS FOR ISSUING AND USING DEDICATED TOKENS FOR REWARDS ACCOUNTS

Systems and methods for issuing and using dedicated tokens for rewards accounts are disclosed. In one embodiment, in a token service provider information processing apparatus comprising at least one computer processor, a method for issuing dedicated tokens for reward accounts may include: (1) receiving, from an electronic wallet, a request to provision a credit or debit-based token for a financial instrument and a dedicated reward-based token for rewards-based transactions associated with the financial instrument to an electronic wallet; (2) generating the credit or debit-based token and the dedicated reward-based token; and (3) providing the credit or debit-based token and the dedicated reward-based token to the electronic wallet and to the issuing bank.

Token processing system and method

A method is disclosed and includes receiving, by a record server computer from a first processing network computer, a token, a device identifier associated with a user device, a session identifier associated with a registration request, and metadata about the token, and then receiving a metadata request from a second processing network computer in response to the second processing network computer receiving an authorization request message comprising the token, and the device identifier and/or the session identifier. The metadata request comprises at least the device identifier and/or the session identifier. The method also includes retrieving, by the record server computer, metadata associated with the metadata request, and providing the metadata to the second processing network computer. The second processing network computer processes the authorization request message using the token and the metadata.