Telefonaktiebolaget LM Ericsson had nine patents in blockchain during Q2 2024. The patent describes a method for a network device to securely execute a smart contract that involves private data accessible to one peer but not the other. This involves detecting when private data is used, providing necessary information to the peer with access, obtaining a zero-knowledge proof from the peer, and verifying the proof for validity. GlobalData’s report on Telefonaktiebolaget LM Ericsson gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Telefonaktiebolaget LM Ericsson had no grants in blockchain as a theme in Q2 2024.
Recent Patents
Application: Zero knowledge proof of smart contract computation using private input (Patent ID: US20240205011A1)
The patent filed by Telefonaktiebolaget LM Ericsson describes a method for a network device to provide trusted execution of a smart contract on a distributed ledger, where private data is accessible to one peer but not the other. The method involves detecting when a subroutine of the smart contract uses private data, obtaining a zero-knowledge proof of computation from the peer with the private data, and verifying the proof using a zero-knowledge proving scheme. This ensures secure execution of the smart contract while maintaining data privacy between peers.
The method includes steps such as generating a partial execution result, providing an identifier of the subroutine to the second peer, and applying the effects of the subroutine before resuming the execution of the smart contract. The use of zero-knowledge succinct non-interactive argument of knowledge and an arithmetic circuit in the proving scheme ensures efficient and secure verification of the private data. Additionally, the method allows for the restoration of the execution state based on the validity of the zero-knowledge proof and public input, ultimately providing a full execution result to the consensus mechanism of the distributed ledger.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
