Research on Regulation Oriented Decentralized Oracle Machine

As a new computing mode, blockchain has been applied in various fields and urgently needs effective regulation. However, due to the lack of an effective information-sharing mechanism, regulating blockchain faces some challenges. Current related research mainly focused on asset circulation between independent blockchains or transferring data from single trusted data source to blockchain, but they cannot solve the problem of trusted information sharing in the blockchain regulation process. Therefore, this paper proposed a regulation oriented decentralized oracle machine method. The method mainly focuses on collecting data from the target blockchain for regulatory authorities. It uses multi-party joint verification and verifiable random selection mechanism to ensure the authenticity of data captured from blockchain and improve the efficiency and the scalability. The security, scalability, and efficiency of the method was analyzed, and the results showed that the method has lower overhead and good scalability while maintaining security.