面向学位/学历证书可信管理的可扩展类PBFT算法

张学旺; 雷志滔; 林金朝

doi:10.11959/j.issn.1000-436x.2024144

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面向学位/学历证书可信管理的可扩展类PBFT算法

学术论文 | 更新时间：2024-10-10

- 面向学位/学历证书可信管理的可扩展类PBFT算法
- Scalable PBFT-like algorithm for trust management of degree/graduation certificates
- 通信学报 2024年45卷第9期页码：40-54
- 作者机构：
  
  1.重庆邮电大学软件工程学院,重庆 400065
  2.重庆大学微电子与通信工程学院,重庆 400004
  3.重庆邮电大学光电信息感测与传输技术重庆市重点实验室,重庆 400065
- 作者简介：
  
  [ "张学旺（1974- ），男，湖南祁东人，重庆大学博士生、重庆邮电大学副教授，主要研究方向为区块链、物联网、数据安全与隐私保护。" ]
  [ "雷志滔（1998- ），男，四川内江人，重庆邮电大学硕士生，主要研究方向为区块链、互联网软件及安全。" ]
  [ "林金朝（1966- ），男，四川蓬溪人，博士，重庆邮电大学教授、博士生导师，主要研究方向为无线通信传输、无线体域网与信息处理。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(U21A20447)
- DOI：10.11959/j.issn.1000-436x.2024144
  中图分类号： TP301.6
- 收稿日期：2024-02-29，
  
  修回日期：2024-06-07，
  
  纸质出版日期：2024-09-25
- 稿件说明：
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张学旺,雷志滔,林金朝.面向学位/学历证书可信管理的可扩展类PBFT算法[J].通信学报,2024,45(09):40-54.

ZHANG Xuewang,LEI Zhitao,LIN Jinzhao.Scalable PBFT-like algorithm for trust management of degree/graduation certificates[J].Journal on Communications,2024,45(09):40-54.
张学旺,雷志滔,林金朝.面向学位/学历证书可信管理的可扩展类PBFT算法[J].通信学报,2024,45(09):40-54. DOI： 10.11959/j.issn.1000-436x.2024144.

ZHANG Xuewang,LEI Zhitao,LIN Jinzhao.Scalable PBFT-like algorithm for trust management of degree/graduation certificates[J].Journal on Communications,2024,45(09):40-54. DOI： 10.11959/j.issn.1000-436x.2024144.

摘要

现有的学位/学历证书可信管理存在节点扩展的优化策略不足、未考虑节点差异性和吞吐量低等问题，“区块链+教育”为学位/学历证书的可信管理提供了一种解决方案。针对上述问题，提出一种面向学位/学历证书可信管理的可扩展类PBFT算法z-PBFT。该算法采用基于区域分组的分层设计，算法模型分为主区域和副区域节点簇，副区域内部采用局部共识机制；通过基于TOPSIS建模和熵值赋权法的加权随机选取分派策略评估节点性能，并选取共识委员节点集。实验结果表明，在大规模节点应用场景下，该算法在确保安全性的同时，具有更高的吞吐量和可扩展性。

Abstract

“Blockchain+education” offers a solution for trust management of degree/graduation certificates. Existing methods for managing degree/graduation certificates suffer from issues such as lacked optimization strategies for node expansion

neglect of node heterogeneity

and low through put. A scalable PBFT-like algorithm for trust management of de-gree/graduation certificates was proposed to address the above issues

called z-PBFT. The algorithm was based on a hierarchical design using regional grouping

with a model consisting of main region and sub-region node clusters. Local consensus was employed within the sub-regions. A weighted random allocation strategy based on TOPSIS modeling and entropy weighting was used to evaluate node performance and select a consensus committee node set. Analysis and simulation experiments demonstrate that the proposed algorithm ensures security while achieving higher throughput and scalability in large-scale applications of degree/graduation certificate trust management.

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