A system and method for transacting cryptographic currency is described. An exchange database associated with a number of buyers and sellers is maintained at a host computer system. Cryptographic currency is received from one or more of the sellers at an exchange wallet associated with the exchange database. A match is created within the exchange database, including a buy offer for the cryptographic currency from a buyer and a sell offer for the cryptographic currency from a seller. A cryptographic currency withdrawal request is received from the buyer, and in response, the host computer system determines that a total amount of cryptographic currency represented in the exchange database matches a total amount of the cryptographic currency within the exchange wallet, transfers the cryptographic currency to the buyer's wallet, and updates the exchange database by deducting a first value of the cryptographic currency that is transferred to the buyer's wallet.

A computer-implemented method of validating a blockchain transaction is disclosed. The method comprises requesting at least one UTXO referenced by at least one respective input of the transaction from a member node of at least one shard comprising at least one UTXO, obtaining validity data of at least one UTXO from at least one node, and performing a validation check on at least one input using the validity data.

Systems, computer program products, and methods are described herein for machine learning based system for authorization of autonomous resource transfers between distributed IoT components. The present invention is configured to receive, from a first autonomous IoT device, a transaction authorization request to execute a transaction with a second autonomous IoT device; receive information associated with the first autonomous IoT device, information associated with the second autonomous IoT device, and information associated with the transaction; initiate an execution of one or more machine learning algorithms; determine that the first autonomous IoT device is authorized to execute the transaction with the second autonomous IoT device; transmit a transaction authorization to the first autonomous IoT device to execute the transaction; and receive, from the first autonomous IoT device, an indication that the transaction has been executed.

Provided are systems, methods, techniques, instruction sequences, and computer program products associated with and configured to the technical field of special purpose machines that facilitate generation and provision of application program interfaces (or APIs). The APIs automatically compare the geographic position of a user resource with a known database of events to determine the likelihood that the user is attending the event. In response to determining that the likelihood exceeds a predetermined limit, the APIs communicate notifications to update user information to service providers, such as financial networks, to improve the performance of the user's portable financial devices and reduce financial fraud associated with offline transactions.

Disclosed herein are system, method, and device embodiments for time-based trust token (TBTT) depreciation. In an example embodiment, a service provider system (e.g., a service provider and API service) may receive a connection request including a demographic attribute associated with a first client account from a partner device, match the demographic attribute to client information associated with the first client account, send the partner device a connection request identifier and a URL including a depreciating token, and authenticate a second client account via a login page associated with the URL. Further, the service provider system may receive a verification request including the connection request identifier and the depreciating token, determine a security context of the depreciating token based on a depreciation function and the verification request, and determine, based on the security context, whether to create a connection between the second client account and partner device within the service provider system.

The application describes generation of a data structure that enables comparison of any diamond to any other diamond. The data structure is generated via a sampling process and a computer system for acquisition of diamonds of a valid statistical sample having a predefined sample size. The process comprises tabulating the frequencies that diamonds of various grade combinations are available in an overall population of diamonds, then using a bidding process described herein to acquire a valid statistical sample of diamonds. The data for the sample of diamonds are then inputted into a Linear Programming and Mixed-Integer optimizer configured to sort all diamonds of the sample into sets with a median that is a minimal distance from the median on a scarcity basis, subject to various constraints, such as the number of diamonds in each set and a minimum total carat weight.

Implementations of the present disclosure include determining that a private transaction is to be recorded in a distributed ledger system (DLS) based on a consensus protocol executed by a set of entities participating in the DLS, the private transaction including a transaction between a subset of entities of the set of entities, providing a set of noisy transactions based on a transaction model, and transmitting data representative of at least a portion of the private transaction, and data representative of each noisy transaction in the set of noisy transactions for recording in the DLS based on the consensus protocol.

A credit analysis assistance method for a system 10, the method comprising executing by a node 100 of a party involved in a predetermined transaction a process of extracting evaluation information on a business partner in the transaction from the predetermined transaction data in the distributed ledger 110, a process of extracting an evaluation result on the business partner determined by a predetermined external institution from the predetermined transaction data in the distributed ledger 110, and a process of generating credit information on the business partner by applying a predetermined rule defined in advance to the evaluation information and the evaluation result.

To achieve efficient reading of data from a memory including a plurality of banks by specifying different banks and accessing the memory from a plurality of hash computation circuits simultaneously, an information processing device includes a memory 1 including a plurality of banks, a plurality of hash computation circuits 8, and an interconnect 2 respectively connecting the banks in the memory 1 and the hash computation circuits 8 to each other, wherein the hash computation circuits 8 execute control in such a manner that read requests for reading data from the memory 1 respectively include bank numbers for specifying different banks in the same cycle.

The present disclosures presents system and methods for blockchain based payment networks. One such method comprises preparing, by a payment network, a request to complete a transaction from an digital currency account associated with a payer digital wallet for entry on a blockchain ledger, wherein the request to complete the transaction includes an amount and a payee address associated with a fiat currency account; sending the request to complete the transaction to the blockchain ledger; approving the request to complete the transaction; and adjusting a balance of the payer digital wallet and a balance of the fiat currency account in response to approval of the request to complete the transaction by writing the transaction comprising the amount and the payee address to the blockchain ledger, wherein a value of the digital currency substantially matches a value of the fiat currency.