The present disclosure describes a system, method and computer readable medium for verifying the ownership of an article. In one embodiment, one or more physically unclonable functions may be applied to an article and associated with a non-fungible token in order to create a digital fingerprint. The digital fingerprint may then be stored on a blockchain network and utilized to verify and authenticate the ownership of the article.

A method for enabling pruning of a blockchain of a blockchain network includes creating an active blocks commitments Merkle tree from hashes of active blocks and creating an active smart contracts commitments Merkle tree from hashes of active smart contracts. The Merkle trees are created after an amount of blocks created in the blockchain has reached a threshold set by a pruning threshold parameter stored in the blockchain network. Hashes of the roots of the Merkle trees are stored in a header of a new block as a new genesis block. The new genesis block is broadcast to the blockchain network. A set of the active blocks and active smart contracts used respectively to create the active blocks commitments Merkle tree and the active smart contracts commitments Merkle tree are committed to upon the blockchain network reaching consensus on the new genesis block.

A method for awarding blockchain mining fees based on recycling efforts includes: receiving recycling data for each of a plurality of mining systems including an amount of recycled materials associated with the respective mining system; receiving validation data for each mining system from third party entities including, for each mining system, a confirmation of the amount of recycled materials for the respective recycling data; selecting one of the mining systems, which is weighted based on the amount of recycled materials for the respective mining system compared to a total amount of recycled materials for all mining systems; and receiving a new block generated by the selected mining system including a block header and a plurality of blockchain data values including a blockchain data value corresponding to a blockchain transaction for payment of mining fees for the new block to a wallet associated with the selected mining system.

Systems and methods are disclosed for automating digital asset transfers based on historical transactions. In one implementation, a notification corresponding to a first transaction or operation associated with a first entity is received. Based on the notification, a second transaction or operation is initiated with respect to one or more digital tokens. One or more digital tokens are received in response to the second transaction. At least one of the one or more digital tokens, as secured via one or more cryptographic keys, is stored in a wallet associated with the first entity.

Systems and methods are disclosed for automating digital asset transfers based on historical transactions. In one implementation, a notification corresponding to a first transaction or operation associated with a first entity is received. Based on the notification, a second transaction or operation is initiated with respect to one or more digital tokens. One or more digital tokens are received in response to the second transaction. At least one of the one or more digital tokens, as secured via one or more cryptographic keys, is stored in a wallet associated with the first entity.

A method for maintaining state and event information for all of a user's devices associated in a common location using a blockchain where each block includes an event block and a device block within it, where each event and device block refers to an earlier block of the respective type, resulting in a blockchain-in-a-blockchain architecture. The device and event blocks store data regarding each device associated with a user and events related to the devices/user, respectively. Any time a new event occurs, or a device is registered or removed, a new set of blocks is created, where submissions regarding device changes or events can be made by any participant due to the decentralized and public nature of a blockchain. The result is a system where all data regarding a user's registered devices and events is kept in a common location in a manner that is auditable and verifiable.

An example operation includes one or more of solving, by a scheduler node, integer programming problem of maximizing a sum of organizations' endorsing peers that run chaincodes from a plurality of chaincodes within a consortium, making, by the scheduler node, endorsement policies (EPs) for the chaincodes from the plurality of the chaincodes to be satisfiable at any time, applying administrator's constraint of available endorsing peers to the maximized sum of organizations' endorsing peers, and adding resulting endorsing peers to a maintenance list.

The present disclosure relates to a payment system and method using a real-name account of a seller, the system and method being expanded from universal payment gateway (PG) platforms to the over the top (OTT) platform market and, more specifically, a payment system and method in which a payment exclusive account (hereinafter, payment account) opened in the real-name of a seller is used by default so that, in non-face-to-face electronic commerce, transactions may be conducted in real-time through live broadcasts between a plurality of unspecified sellers and a plurality of unspecified buyers at home and abroad, thereby enabling convenient, speedy, and safe processing with reduced processing costs.

The present disclosure relates to a payment system and method using a real-name account of a seller, the system and method being expanded from universal payment gateway (PG) platforms to the over the top (OTT) platform market and, more specifically, a payment system and method in which a payment exclusive account (hereinafter, payment account) opened in the real-name of a seller is used by default so that, in non-face-to-face electronic commerce, transactions may be conducted in real-time through live broadcasts between a plurality of unspecified sellers and a plurality of unspecified buyers at home and abroad, thereby enabling convenient, speedy, and safe processing with reduced processing costs.

There are provided systems and methods for identifying transaction processing retry attempts based on machine learning models for transaction success. A service provider, such as an electronic transaction processor for digital transactions, may detect a failure of data processing for a transaction when processed with a separate data processing system, such as a card processing system for payment cards. In order to minimize cost and wasted resources for retrying transactions that are likely to further fail, a machine learning model may be implements that generates a predictive score for whether a failed transaction is likely to be successful if retried with the data processing system. The predictive score may be used to predict a probability of success, which may then be used with a cost function to determine a cost to retry the failed transaction and a cost to stop a retry of the failed transaction.