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面向联盟链的共识算法研究

Research on consensus algorithm for consortium blockchain

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【作者】 姜玥周璇张洁董国庆

【Author】 JIANG Yue;ZHOU Xuan;ZHANG Jie;DONG Guo-qing;School of Computer Science and Engineering, Southwest Minzu University;

【通讯作者】 董国庆;

【机构】 西南民族大学计算机科学与工程学院

【摘要】 实用拜占庭容错算法(Practical Byzantine Fault Tolerance)广泛用于理论研究和实际生产中,但存在着选取主节点随机、缺乏惩罚机制等缺点.针对以上问题,(1)提出一种基于复杂网络角度的区块链共识算法,通过引入时间感知PageRank算法,建立区块链网络节点的影响力评分机制,并建立共识群组;(2)为了减少共识攻击的发生,建立节点惩罚机制,增加节点作恶的成本,有效提高攻击代价,降低攻击概率;(3)实验表明,基于时间感知PageRank的共识算法在扩展性和可靠性上高于实用拜占庭容错算法和基于信用分级的拜占庭容错算法(Credit-Layered Byzantine Fault Tolerance);在公平性和在延迟性方面,均取得良好效果.

【Abstract】 The practical byzantine fault-tolerant algorithm is widely used in theoretical research and practical production, but it also has some drawbacks, such as random selection of master nodes and lack of penalty mechanism.To address the above issues, a blockchain consensus algorithm based on the complex network perspective was proposed.By introducing the time-aware PageRank algorithm, the influence scoring mechanism of blockchain network nodes was created and consensus groups were established.In order to reduce the occurrence of consensus attacks, a node penalty mechanism was established to increase the cost of nodes doing evil, effectively increasing the cost of attacks and reducing the probability of attacks.Experiments showed that the time-aware PageRank-based consensus algorithm was better than PBFT and CLPBFT in scalability and reliability.Good results were achieved in fairness and delay.

【基金】 四川省科技计划项目(2022JDGD0011);科技部高端外国专家引进计划项目(G2021186002L);四川省科技项目(2022NSFSC0530)
  • 【文献出处】 西南民族大学学报(自然科学版) ,Journal of Southwest Minzu University(Natural Science Edition) , 编辑部邮箱 ,2024年01期
  • 【分类号】TP311.13
  • 【下载频次】10
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