Research On Game Model And Application Of Blockchain Consensus Mechanis

Among all the great challenges to the safety and efficiency of applications of blockchain technology due to the complexity and diversity of data information,the most imperative issue to the design of the consensus protocol,that is,how to reach a steady blockchain consensus mechanism with the fair compatibility on executed agreement from each party while maintaining high efficiency.In light of the low consensus efficiency and safety problems with the existing consensus mechanism,this research paper focuses on three aspects: first,optimize the consensus mechanism on the basis of the trust mechanism by studying the consensus mechanism scheme incorporated with trust mechanism model and quantify node behaviors in the system environment through the reputation value;The second is to utilize the theory of group game and evolutionary game to analyze the consensus mechanism based on the trust model,and design the corresponding incentive mechanism to ensure the stability of the system;Lastly,incorporate the designed consensus mechanism into the applications of supply chain with further analytical assessment.In recent years,many solutions have been provided for the improvement of consensus mechanisms from global scholars,however there are little research on the theories of blockchain consensus mechanisms based on the actual application,this paper contributes to the issue above as follows:1.PBFT algorithm based on the evolutionary game model combined with the reputation mechanism.optimize and improve the existing consensus mechanism scheme,construct a consensus mechanism scheme combined with the reputation model,calculate the trust value of the node with trust measurement,classify the participating consensus nodes,and evaluate the stability of the nodes under the consensus environment,so that the consensus can be achieved in the context of honest nodes.By combining the trust value of the system environment to weigh the nodes and reduce the complexity of the consensus process,the scheme thereby has better performance and security2.Incentive mechanism of consensus algorithm incorporated with trust mechanism and strategic stability.By modeling the consensus mechanism mentioned above,analyzing the consensus scheme with group game and evolutionary dynamic theory,the evolutionary stability strategy(ESS)under the evolutionary game model is solved,and the consensus mechanism is designed accordingly.The incentive mechanism that the scheme conforms to makes the consensus mechanism more robust on the basis of high efficiency.3.A two-layer game model of consensus mechanism with information entropy.Targeting the conflict of benefits between the participants in the supply chain system,the designed consensus mechanism,and the corresponding game model are both considered to analyze the dynamic payment between the participants,with the attempt to solve the existing benefit balancing problems during trades on the basis of blockchain.By giving a scientific evaluation of the practical application benefits of the proposed scheme and other types of consensus mechanisms in this scenario while ensuring its feasibility and practicability,it can better fit the specific practical application in reality.This paper contributes to the safety issues on blockchain technology by designing an elevated level of efficiency and security consensus mechanism incorporated with trust model,which is also integrated into real-life applications.