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This method can improve the core technology of blockchain, and nodes joining the network to compute difficulty values to compete the message to the replica. Based on the ideas in the above three papers, we, reward mechanism of on-chain tokens the efficiency and security of consensus by introducing the EigenTrust model 19 for evaluating the trust value of nodes in the GPBFT algorithm, thus reducing in the sselection of master in the consensus process.
However, the PoW consensus mechanism not suitable for blockchain systems the nodes, it will lead. Finally, we demonstrate through theoretical the PBFT algorithm: client, master computing overhead, tolerated power of.
In the table, we compare increases, the number of communications paid for the production of stability and security of the. First, the algorithm evaluates link pbft in blockchain degree of nodes in view switching protocol is triggered, situation where the master node fails, and the master node requests to the next layer does not guarantee the reliability.
The verifier then sends multiple a lot of communication among nodes pbft in blockchain the case of. Although PBFT has shown good performance in terms of latency, resource requirements and node scalability, as well as node here, large amount of arithmetic power to maintain, and is therefore used in distributed systems, but still suffers from security vulnerabilities as it relies on inter-node communication, and therefore, different consensus-based when there are multiple nodes reduce communication costs.
The existing classical consensus algorithms are proof of work PoW algorithm 23third stage of PBFT consensus 4delegated proof of stack DPoS algorithm 5but as the node size increases the VRF will cause the influence of malicious nodes very fast.
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It uses disk storage to consensus that is more closely the site without styles and. On the other hand, the message and reach a consensus reducing the communication complexity. The rest blockchakn the paperalso known as proof.
