METHODS AND SYSTEMS FOR FAST CONSENSUS WITHIN DISTRIBUTED LEDGERS

    公开(公告)号:US20240370327A1

    公开(公告)日:2024-11-07

    申请号:US18689644

    申请日:2022-09-07

    Abstract: Blockchains operate as decentralized, self-regulating systems that involve contributions from hundreds of thousands of participants who work on the verification and authentication of transactions occurring on the blockchain. The consensus mechanism within such a system provides the set of rules that determine the legitimacy of contributions made by the various participants of the blockchain. The consensus mechanism should not only be tolerant of faults but also have low latency in establishing consensus. Prior art solutions either could tolerate at most (n+1)/5 faults reaching consensus or execution of three or more communication steps to provide tolerance of arbitrary (Byzantine) faults or cannot guarantee strong safety property for an honest primary. To improve the speed of the consensus mechanism the inventors have established a BFT consensus protocol that operates with just two communication steps. The proposed protocol tolerates at most (n−1)/3 faults and provides strong safety guarantees for an honest primary.

    DIGITAL LEDGER BASED HEALTH DATA SHARING AND MANAGEMENT

    公开(公告)号:US20230315904A1

    公开(公告)日:2023-10-05

    申请号:US18006214

    申请日:2021-07-20

    CPC classification number: G06F21/6254 G16H10/60 H04L9/50 G06Q40/08

    Abstract: Increased regulation reflects individuals' growing concerns about sharing their health data. But, if left unaddressed, these regulations act as a barrier to healthcare researchers and providers accessing the real-world health data they need for AI-powered health advances. Accordingly, the inventors have established a decentralized ledger based self-sovereign data management platform for individuals. Via the platform an individual is provided a personalized health wallet to supporting self-sovereign data management giving them control and custody of their own health data. The platform provides for data credentialing to ensure quality and support of verifiable claims, e.g., about an individuals' consent to share and/or a third party research project having ethics approval, zero-knowledge proofs to protect individual privacy and promote secure data sharing, and support for privacy-preserving audit, accountability and compliance relating individuals' consent and data sharing.

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