International Business Machines Corporation

Diego A Masini

Dulce Beatriz Ponceleon

Andres Garagiola

Jeronimo Irazabal

John B Geagan, Iii

Raul Laprida

Guillermo R Lopez

David W Kravitz

Luis Angel D Bathen

Brian Keith Smith

Ramani Ranjan Routray

Pawan Raghunath Chowdhary

Darryl Maurice Adderly

Shun Jiang

Kevin Lavern Schultz

Chung-hao Tan

Guangjie Ren

Rosanna Mannan

Gabor Madl

Hernan Badenes

Eduardo M Coria

An example operation may include one or more of receiving a request to certify a digital record, retrieving a first hashed data value of the digital record from a data block included among a first hash-linked chain of blocks on a first blockchain, retrieving a second hashed data value of the digital record from a second data block included among a second hash-linked chain of blocks on a second blockchain which is different from the first blockchain, determining whether the digital record is valid based on a cross-validation of the first hashed data value and the second hashed data value, and storing the determination of the validity of the digital record in a data block among a third hash-linked chain of blocks.

Cross-chain validation

A method, computer system, and a computer program product for blockchain enabled crowdsourcing is provided. The present invention may include receiving an asset from a content provider. The present invention may also include deploying a smart contract based on the received asset, wherein the deployed smart contract includes a plurality of compensation rules. The present invention then may include partitioning the received asset into a plurality of fragments based on the deployed smart contract. The present invention may further include releasing the partitioned plurality of fragments into a blockchain network. The present invention may also include tracking each fragment within the released plurality of fragments using the smart contract.

Blockchain enabled crowdsourcing

An example operation may include one or more of storing a broadcast encryption tree comprising a set of cryptographic keys disposed in a hierarchical tree format, distributing a partial set of keys from the broadcast encryption tree to each respective peer from among a group of peers included in a blockchain network, receiving, from a user device, an identification of at least one peer included in the group of peers for processing a blockchain transaction, selecting a subset of keys from among the set of cryptographic keys in the broadcast encryption tree which enables at least one peer to decrypt transactions and doesn't enable the remaining peers included in the group of peers to decrypt transactions, and transmitting broadcast encryption information about the selected subset of keys to the user device for performing encryption of the transactions.

Blockchain transaction privacy enhancement through broadcast encryption

An example operation may include one or more of identifying a new member (M) to a permissioned database, creating a new group including the new member and one or more previously identified members (MP), modifying a world state of the permissioned database to identify a set of members in the new group with access to the permissioned database, and responsive to the new member (M) being identified, creating a new entry (TX) to the permissioned database using an encryption key (K) associated with the new member (M).

Membership access management of a database

An example operation may include one or more of identifying a blockchain transaction, storing the blockchain transaction in a blockchain, assigning the blockchain transaction a transaction number and a block number, hashing a portion of blockchain transaction data associated with the blockchain transaction, and updating a blockchain index based on the hashed portion of the blockchain transaction.

Optimizing queries and other retrieve operations in a blockchain

An example operation may include one or more of a method for providing a one-step transaction submission in a blockchain network, comprising sending a transaction proposal, by a client node, to one or more peers of a plurality of peers, simulating a transaction associated with the transaction proposal, by at least one peer of the plurality of peers, evaluating, by an endorser peer, whether an endorsement policy has been fulfilled, and when the endorsement policy has been fulfilled, sending the transaction to at least one orderer node to be committed to a ledger, by the endorser peer.

Autocommit transaction management in a blockchain network

An example operation may include one or more of connecting, by a recipient node, to a blockchain network configured to store links to digital assets of an owner, selecting, by the recipient node, an asset from a ledger of the owner, executing, by the recipient node, a smart contract to determine a time frame of the asset use, executing, by the recipient node, a smart contract to download the asset to the recipient node, checking, by the recipient node, if the asset is downloaded successfully, and in response to the successful download of the asset, executing, by the recipient node, a smart contract to log an asset transfer transaction onto the blockchain.

Management of digital assets

An example operation may include one or more of identifying a first conferred asset exchange request from a first user account and a second conferred asset exchange request from a second user account which are capable of being used to settle each other, requesting an intermediary blockchain to perform a conferred asset settlement transaction for the first and second conferred asset exchange requests, determining that first conferred assets of the first user account and second conferred assets of the second user account have been transferred to temporary intermediary trading addresses, respectively, and releasing the first conferred assets to the second user account and the second loyalty assets to the first user account, in response to the determining.

Intermediate blockchain system for managing transactions

One example method may include generating a template transaction certificate by one or more entities which verify proof of ownership of attributes incorporated into the template transaction certificate, and generating one or more operational transaction certificates by the one or more entities which verified proof of ownership of the template transaction certificate.

Template-based distributed certificate issuance in a multi-tenant environment

An example operation may include one or more of connecting, by a clock node, to a blockchain network comprised of a plurality of nodes, retrieving, by the clock node, a timestamp (Ts) of the clock node, acquiring, by the clock node, a time window (Tw) based on the Ts, reading, by the clock node, a current window (Cw) from a world state, determining, by the clock node, a gap as a difference between the Tw and the Cw, calculating, by the clock node, a clock fix value based on the gap, and adjusting a clock by a subtraction of the clock fix value from the Ts.

Distributed clock

An example operation may include one or more of receiving, by gaming peers of a gaming network, a number of transactions from a blockchain network, electing a subset of gaming peers to verify the transactions and a leader from the subset of gaming peers, generating, by the leader, a block comprising the number of transactions, validating the block, by the subset of gaming peers, and broadcasting the block to the blockchain network.

Gaming concensus protocol for blockchain

An approach is provided for determining a time of an alarm. Natural language processing determines a meaning of user input which specifies the alarm, an event, an action, and an amount of time. The alarm notifies the user about the action the user is to take prior to the event, which will occur at an indefinite time. The alarm is triggered at a time that precedes an estimated time of the event by the amount of time. Information is retrieved that describes movements and usage of a mobile device of the user, profile information, historical user behavior, calendar appointments, messages sent and received by the user of the user, and social network contacts and user-generated content. The estimated time of the event is generated. The time of the alarm is determined as a time that precedes the estimated time of the event by the amount of time.

Cognitively determining a time of an alarm

One example method of operation may include receiving a request, from an entity, for one or more tokens based on one or more attributes, encrypting and masking the one or more attributes, adding the encrypted and masked one or more attributes to the one or more tokens, and transmitting the one or more tokens to the entity.

Growing community of inventors

La Plata, Argentina

Diego A Masini