International Business Machines Corporation

Abhishek Singh

Seep Goel

Praveen Jayachandran

Krishnasuri Narayanam

Yedendra Shrinivasan

Vishnu Choudhary

Mudit Verma

Rachit Garg

Pankaj Satyanarayan Dayama

Vinayaka D Pandit

Vishal Singh Batra

Nitin Singh

Dhinakaran Vinayagamurthy

Anbumunee Ponniah

Shachi Sharma

Parameswaran Selvam

Santosh Ravi Kiran Penubothula

Nithin Mathew

Balasubramaniam Gurumurthy

Sunil Mayanna

An example operation may include one or more of detecting, by a blockchain (BC) node, a contract update on a blockchain, determining, by the BC node, at least one charge affected by the contract update, executing, by the BC node, a smart contract to re-generate an invoice based on the at least one charge, and recording the invoice on a ledger of the blockchain.

Dynamic updates of decentralized invoices

An example operation may include one or more of monitoring, by a blockchain node, a delivery of a service to a first node from a second node based on a service contract and an order retrieved from a blockchain, determining, by the blockchain node, an incremental charge for a partial delivery of the service based on the monitoring, and executing, by the blockchain node, a smart contract to issue the incremental charge for the partial delivery of the service, and responsive to a resolution of a dispute raised for the incremental charge, add the incremental charge to an incremental invoice.

Optimization of trusted invoicing

One embodiment provides a method, including: receiving, at a service provider and from a user, a request for computation of a function, wherein the request includes a description of the function to be computed and requirements of the user; identifying, from data sources accessible to the service provider, a plurality of data sources to participate in the computation in view of the requirements and the description of the function, wherein each of the plurality of data sources includes data of a data owner and constraints on use of the data; identifying a multi-party computation protocol and parameters of the multi-party computation protocol for performing the computation; and running the computation of the function using the data of the plurality of data sources and in view of the requirements of the user and the constraints of the plurality of data sources.

Automation of multi-party computation as a service according to user regulations and requirements

Provided are techniques for domain specific correction of output from automatic speech recognition. An output of an automatic speech recognition engine is received. An alphanumeric sequence is extracted from the output, where the alphanumeric sequence represents an erroneous translation by the automatic speech recognition engine. Candidates for the alphanumeric sequence are generated. The candidates are ranked based on scores associated with the candidates. A candidate of the candidates having a highest score of the scores is selected. The output is corrected by replacing the alphanumeric sequence with the selected candidate. The corrected output is returned.

Domain specific correction of output from automatic speech recognition

An example operation may include one or more of identifying a workflow specification including a number of entities and state elements, selecting two or more entities designated as a subset of entities among the entities, where the subset of entities share one or more of the state elements of the workflow specification among the state elements, and creating a first smart contract identifying the one or more state elements.

Converting processes into multiple blockchain smart contracts

An example operation may include one or more of identifying a blockchain transaction requiring peer endorsement, transmitting a request for endorsement to one or more peers assigned to a blockchain, receiving endorsement response messages from the one or more peers, wherein the endorsement response messages comprise a plurality of priorities assigned to the blockchain transaction, and forwarding the received plurality of priorities and the blockchain transaction to an ordering node for assignment to the peers.

Prioritization in a permissioned blockchain

An encrypted request for peer-to-peer communication includes a requesting peer encrypting a requested peer identification using a public key of a security agent. The requesting peer sends the encrypted request to a security agent, which generates a first encrypted instance of the session key using a public key of the requested peer and a second encrypted instance of the session key using a public key of the requesting peer. The first encrypted instance of the session key is sent to the requested peer and the second encrypted instance of the session key is sent to the requesting peer. The requesting peer encrypts data using the second encrypted instance of the session key and sends the encrypted data to the requested peer, which decrypts the encrypted data using the first instance of the encrypted session key.

Computer program product and computer system for peer-to-peer communications

A protocol for secure peer-to-peer communications is established based on existing cryptographic techniques and encryption algorithms. The peers () and a central security agent () undergo mutual authentication. A newly generated nonce is used for authentication, and a random session key is used for a session. The security agent () generates unique session keys for communication between peers (). The security agent () removes the burden of mutual authentication between requested peer () and the requesting peer (), as the security agent () independently authenticates the requesting peer () and the requested peer (). The requested peer () and the requesting peer () are sent a session key by the security agent ().

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New Delhi, India

Abhishek Singh