基于惩罚模型的K-确认共识机制  

K-Confirmation Consensus Mechanism Based on Penalty Model

作　　者：孙霓刚[1] 汤晨枫 鲁力[2] SUN Ni-gang;TANG Chen-feng;LU li(School of Information Science&Engineering,Changzhou University,Changzhou Jiangsu 213164,China;School of Computer Science and Engineering,University of Electronic Science and Technology of China,Chengdu Sichuan 611731,China)

机构地区：[1]常州大学信息科学与工程学院,江苏常州213164 [2]电子科技大学计算机科学与工程学院,四川成都611731

出　　处：《计算机仿真》2022年第2期171-175,250,共6页Computer Simulation

基　　金：国家自然科学基金资助项目(61103172)。

摘　　要：区块链作为一门新兴技术,因其具有去中心化、数据信息的不可篡改性以及用户信息的高度隐私性等特点,已经成为了研究和应用场景开发的热点。然而随着区块链技术的发展,作为区块链系统的核心技术-共识机制所产生的效率远远满足不了当今的发展步伐。针对上述问题,通过分析当前区块链共识机制的优化方案,首次提出了将确保交易正确无误的共识任务分阶段完成,最终设计出基于惩罚模型的K-确认共识机制,实验结果表明,上述共识机制能够在确保系统安全的前提下,降低网络规模对区块链共识过程的影响,提升区块链的系统性能。Recent years, organizations and researchers have paid a lot of attention to Blockchain technology because of the advantage of distributed trust technology, the following research on the blockchain is increasing. However, with the rapid development of blockchain technology, the inefficient consensus mechanism and high resource overhead system architecture lead to the performance requirements of some application scenarios cannot being met, which greatly increases the difficulty of implementing blockchain into production and life. In order to solve those problems, this paper designs a k-confirmation consensus mechanism based on the penalty model by analyzing the optimization scheme of the current blockchain consensus mechanism. The experimental results show that the k-confirmation consensus mechanism based on the penalty model can reduce the impact of network scale on the blockchain consensus process and improve the blockchain system performance.

关 键 词：区块链 共识 双链式存储架构 共识机制 惩罚模型 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]