International Business Machines Corporation

Jeronimo Irazabal

Andres Garagiola

Dulce Beatriz Ponceleon

Nitin Gaur

Diego A Masini

Petr Novotny

Shikhar Kwatra

Abhishek Malvankar

Guillermo R Lopez

Marco Patricio Crasso

Raul Laprida

Sarbajit Kumar Rakshit

Edgar Adolfo Zamora Duran

Roxana Monge Nunez

John B Geagan, Iii

Timothy Olson

Kushal S Patel

Nadiya Kochura

Ching-Yun Chao

Saritha Arunkumar

Luis Angel D Bathen

Richard Daniel Gunjal

Pramod Verma

Luis Angel Bathen

Pablo Pedemonte

Vijender Koorella

Mariela Claudia Lanza

Federico Eduardo Carpi

Guillermo Romero Lopez

Julio Marcelo Ripoll

Hernan P Petersen

Pablo R Najimovich

Francisco M Gomez Sanchez

An example operation may include one or more of storing an object across a plurality of shards of a database, generating a sequence of local hash values from the plurality of shards based on respective object content stored locally within the plurality of shards, converting the sequence of local hash values from the plurality of shards into a global hash value for the database, and storing an identifier of the object paired with the global hash value in the database.

Shard hashing for database objects within a distributed database

A computer-implemented system and method provide a privacy preserving token generation protocol. The method comprises initiating an order request, where the order request includes order public information and order private information. The method further comprises generating an address in a blockchain network that includes encrypting the address using a private key, and generating a hash of data incorporating the order private information and a signature of the hash. The signature of the hash is generated using the private key. The method further comprises transmitting the order request with the address, hash, and signature to a transport associated with the order, and identifying that the transport fulfilled the order request. The method further comprises validating that the transport fulfilled the order, calculating a token value associated with the transport, where the token value is related to a carbon emission footprint of the transport, and assigning the token value to the address.

Sustainable tokens for supply chain with privacy preserving protocol

A node in a blockchain network may agree, on an authority accept a compliance module from the authority, accept the compliance module. The node may also receive an operation, verify a compliance of the operation based on the compliance module, add the verified operation to a ledger on the blockchain network.

Compliance mechanisms in blockchain networks

An example operation may include one or more of computing historical patterns related to fraudulent attempts from a transaction log, predicting future fraud attempts from public data, correlating the historical patterns and the predicted future fraud attempts, modifying one or more first endorsement policies based on the correlations, preventing modifying one or more second endorsement policies, the one or more second endorsement policies providing read-only access, and adding the modified one or more first endorsement policies to a smart contract.

Smart contract endorsement architecture

A method, system and apparatus of for validating uniqueness of a non-disclosed element of data, including in response to receiving a plurality of elements, generating an index of the plurality of elements of data received from a data store to create uniquely indexed data, generating filters from the index, generating a hash tree for the uniquely indexed data using the index, and validating a unique element of data from the hash tree and filters.

Method and system to validate uniqueness in a data store

A node in a blockchain network may receive an endorsed operation for a blockchain network, apply the operation; include a list comprising the operation in a subsequent block, and commit the subsequent block to a ledger of the blockchain network.

Trustless operations for blockchain networks

A plurality of ledger nodes within a blockchain infrastructure is continuously updated via a set of conduit nodes. The set of conduit nodes share a secure provision ledger. The secure provision ledger includes a set of updates for the blockchain infrastructure. Each conduit node within the set propagates the set of updates to a subset of the plurality of ledger nodes.

Ensuring secure provisioning of blockchain infrastructure

A computer-implemented method for configuring a blockchain network, a computer program product for integrating device identity into a permissioning framework of a blockchain network, and a blockchain network. One embodiment may comprise registering a device at a delineate node of a blockchain network, creating, by a processor of the delineate node based on the registering, a profile for the device; an performing, by the processor of the delineate node, a pass-through service for the device. The registering may include receiving, by a network interface, an immutable device identity from the device.

Integrating device identity into a permissioning framework of a blockchain

The processor may collect, from a first peer, a first data set associated with a channel. The channel may include one or more assets associated with a first peer. The channel may link the first peer to a second peer. The processor may analyze the first data set to determine a first status for the one or more assets. The processor may provide the first status of the one or more assets in a viewable channel to the blockchain network.

Visibility of digital assets at channel level

An example operation may include one or more of computing historical patterns related to fraudulent attempts from a transaction log, predicting future fraud attempts from public data, correlating the historical patterns and the predicted future fraud attempts, modifying one or more endorsement policies based on the correlations, and adding the modified one or more endorsement policies to a smart contract.

Auto-evolving database endorsement policies

An example operation may include one or more of executing, by an endorser node, a smart contract to generate a blockchain transaction data, generating, by the endorser node, metadata specific to the endorser node, concatenating, by the endorser node, the metadata with the blockchain transaction data, signing, by the endorser node, a concatenation result data with a key of the endorser node, and providing, by the endorser node, the signed concatenation result data to a committer node for verification.

Metadata-based endorsement

An example operation may include one or more of: receive a first set of annotation information, determine a first approval decision for the first set of annotation information, record the first approval decision in a blockchain, retrieve a first set of approval decisions from the blockchain, generate a consensus based on the first set of approval decisions, and record the consensus in the blockchain.

Smart data annotation in blockchain networks

An example operation may include one or more of storing chaincode that comprises a plurality of statements to be executed, receiving a message to endorse a blockchain storage request, delaying execution of one or more statements within the chaincode based on content included within the chaincode, endorsing the blockchain storage request via execution of remaining statements included in the chaincode which are not delayed to generate an endorsement result, and transmitting the endorsement result to a node.

Optimization of chaincode statements

A computer-implemented system and related method process a smart contract. The method uses a processor for processing a smart contract that receives a transaction proposal (TP) from a blockchain client. The processor determines a pre-endorsement result (PER) that is associated with the TP, analyzes, according to a pre-endorsement agreement logic, the PER to produce an agreed result, and endorses the agreed result. The processor sends, to the blockchain client, the endorsed agreed result.

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Buenos Aires, Argentina

Jeronimo Irazabal