A Blockchain-based Node Reputation Consensus Method

Abstract

The invention relates to the technical field of consensus algorithms, and provides a blockchain-based node reputation consensus method, comprising: step 100, obtaining a behavior record table; step 200, evaluating the reputation value of the nodes in the behavior record table; step 300, according to the node Calculate the reputation growth rate of the node based on the change of the reputation value of the node; Step 400, conduct authority management according to the reputation value and the reputation growth rate of the node, the node with the election authority can participate in the random dynamic election of the consensus node set, and elect according to the master node election algorithm. Consensus master node; Step 500, the consensus master node receives the request sent by the client, and then broadcasts the request and the signature to the consensus nodes to start the consensus process; Step 600, the node that wants to exit needs to send an exit request to the consensus master node; or, The node to be joined also needs to send a join request message to all consensus nodes and the master node. The invention can detect and evaluate the reliability of the whole network nodes.

Description

technical field [0001] The invention relates to the technical field of consensus algorithms, in particular to a blockchain-based node reputation consensus method. Background technique [0002] Blockchain is a decentralized distributed ledger technology. The consensus algorithm is a very important part of the blockchain, and it is also the basis for its decentralization and trust mechanism. Typical consensus algorithms can be divided into: proof-based consensus and voting-based consensus. Proof-based consensus algorithms include PoW (Proof of Work, workload proof), PoS (Proof of Stake, equity proof), DPoS (Delegated Proof of Stake, authorized equity proof), etc. These algorithms require nodes joining the network to prove that they are more qualified than other nodes to add a block to the chain. Voting-based consensus algorithms include PBFT (Practical Byzantine Fault Tolerance, practical Byzantine algorithm), DBFT (delegated Byzantine fault tolerance, authorized Byzantine ...

AI Technical Summary

Problems solved by technology

However, the problems in the PBFT consensus mechanism are: 1) Node reliability: how to detect and evaluate the reliability of the nodes in the whole network to ensure the selection of credible consensus nodes to ensure the stability of the consensus network topology

3) Dynamics: PBFT is usually an algorithm that runs in the alliance chain system, and does not consider the possible changes in the number of nodes in the actual system, so it cannot realize the dynamic joining and exit of nodes; 4) Scalability: PBFT consensus There is a problem of high node communication complexity in the process. When the number of nodes participating in the consensus increases, the consensus interaction messages will increase geometrically, which will affect system performance.

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