Weijun Gao
ABSTRACT
Aiming at the problems of "swing node", poor voting enthusiasm of nodes with small interests, and corruption attack of malicious nodes in traditional DPoS algorithm, this paper proposes an ET-DPoS consensus algorithm based on EigenTrust trust model. Firstly, the algorithm classifies the transactional relationship between nodes, and calculates the direct, indirect and global trust values of nodes under the consideration of the influence of time decay; secondly, in the process of witnessing the nodes' voting, it increases the negative vote link, and utilizes the reputation value to construct a new election evaluation criterion, and dynamically selects the witness nodes according to the size of the evaluation value obtained from each round of calculation to complete the consensus process; lastly, it introduces the concept of node wobbling degree, and according to the size of its value, the node wobbling degree of nodes is calculated. concept, and according to the size of its value, different degrees of punishment restriction measures are made for the swing nodes. Simulation results show that the improved consensus algorithm can effectively improve the enthusiasm and fairness of the node election to become a witness node, and reduce the probability of the swing node to do evil.
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Index Terms
- Research on the Improvement of the DPoS Consensus Mechanism Based on the EigenTrust Trust Model
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