Alliance chain common recognition method and system thereof

Abstract

The invention discloses an alliance chain common recognition system. The system comprises a common recognition node management contract module, a common recognition rule intelligence contract module and a common recognition confirmation module, wherein the common recognition node management contract module updates a common recognition node white list according to a common recognition node modification operation sent by a administrator; the common recognition rule intelligence contract module acquires hash values corresponding to each common recognition node in the updated common recognition node white list, ranks the hash values according to a preset ordering rule so as to acquire an accounting sequence and determines a current block accounting node according to the accounting sequence; the hash values are values acquired through using a hash algorithm to calculate public key addresses of the common recognition nodes; and the common recognition confirmation module carries out common recognition confirmation on block data after the current block accounting node submits the block data. The system carries out common recognition on the number of the common recognition nodes and the accounting sequence, and when the common recognition nodes are changed, the accounting sequence can be dynamically adjusted. The invention also discloses an alliance chain common recognition method which possesses the above advantages.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to an alliance chain consensus method and system. Background technique [0002] Generally speaking, when multiple hosts in the network form a network cluster to cooperate through asynchronous communication, this asynchronous network is unreliable by default, so a mechanism needs to be adopted to replicate the state between these unreliable hosts to ensure that each The state of each host finally reaches the same consistency state and achieves a consensus. [0003] Specific to the blockchain network, the consensus problem has introduced a new uncertain factor, that is, the problem of malicious nodes. Malicious nodes may deliberately send wrong data, false data (collectively referred to as false data) or even unite multiple malicious nodes to send the same false data. Once malicious nodes exceed a certain threshold of total nodes (for example, 50%), the system may re...

AI Technical Summary

Problems solved by technology

But the problem is that the number of participating nodes N may change at any time, and the online time of each node is unstable. How to dynamically adjust the order of accounting when nodes change is a difficult problem

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