Research on improvement of DPoS blockchain consensus mechanism

He Shuai
Huang Xiangnian
Liu Qianbo
Jiang Yangjing
School of Computer & Software Engineering, Xihua University, Chengdu 610039, China

Abstract

Aiming at the two major problems of the DPoS consensus mechanism that malicious nodes collude with each other and the unreasonable distribution of stakes, this paper proposed an improvement scheme. Firstly, it introduced the RBF, neural network model to calculate the comprehensive trust value based on the historical data and related attributes of the node's performance on the entire blockchain, making the nodes elected through the comprehensive reputation value more authoritative and credible. At the same time, it added a reputation incentive mechanism based on dynamic games to increase the cost of malicious attacks on nodes and make the block generation of consensus nodes more secure. Secondly, it used the Shapley value to reasonably divide the stake of nodes, which enhanced the degree of "decentralization" and reduce the possibility of "plutocratic rule". Experimental results show that the improved DPoS consensus mechanism can effectively resist "corruption attacks", enhance the stability and security of the system, and has potential application value.

Foundation Support

国家自然科学基金资助项目(61902324)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.04.0158
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 12
Section: Technology of Blockchain
Pages: 3551-3557
Serial Number: 1001-3695(2021)12-005-3551-07

Publish History

[2021-12-05] Printed Article

Cite This Article

何帅, 黄襄念, 刘谦博, 等. DPoS区块链共识机制的改进研究 [J]. 计算机应用研究, 2021, 38 (12): 3551-3557. (He Shuai, Huang Xiangnian, Liu Qianbo, et al. Research on improvement of DPoS blockchain consensus mechanism [J]. Application Research of Computers, 2021, 38 (12): 3551-3557. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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