面向双层区块链的人车分离信任管理方案

张海波; 黄泓龙; 李方伟; 徐勇军

doi:10.11959/j.issn.1000-436x.2024191

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面向双层区块链的人车分离信任管理方案

学术论文 | 更新时间：2024-12-24

- 面向双层区块链的人车分离信任管理方案
- Trust management scheme for driver-vehicle separation on dual-layer blockchain
- 通信学报 2024年45卷第11期页码：59-71
- 作者机构：
  
  1.公共大数据安全技术重庆市重点实验室，重庆 401420
  2.重庆邮电大学通信与信息工程学院，重庆 400065
- 作者简介：
  
  [ "张海波（1979- ），男，重庆人，博士，重庆邮电大学副教授、硕士生导师，主要研究方向为车联网、区块链、安全认证等。" ]
  [ "黄泓龙（2000- ），男，重庆人，重庆邮电大学硕士生，主要研究方向为车联网、区块链、信任管理。" ]
  [ "李方伟（1960- ），男，重庆人，博士，公共大数据安全技术重庆市重点实验室教授，主要研究方向为下一代无线通信系统的关键技术、移动通信安全、时间反演等。" ]
  [ "徐勇军（1986- ），男，湖北赤壁人，博士，重庆邮电大学教授、博士生导师，主要研究方向为反向散射通信、智能反射表面、通感一体化等。" ]
- 基金信息：
  
  国家重点研发计划基金资助项目(SQ2023YFB250002402);国家自然科学基金资助项目(62371082;62271094);公共大数据安全技术重庆市重点实验室开放基金资助项目(CQKL-QJ202300002);重庆市留创计划创新类基金资助项目;Chongqing Innovation and Entrepreneurship Program for the Returned Overseas Chinese Scholars(cx2020059)
- DOI：10.11959/j.issn.1000-436x.2024191
  中图分类号： TN92
- 收稿日期：2024-07-04，
  
  修回日期：2024-10-29，
  
  纸质出版日期：2024-11-25
- 稿件说明：
移动端阅览
张海波,黄泓龙,李方伟等.面向双层区块链的人车分离信任管理方案[J].通信学报,2024,45(11):59-71.

ZHANG Haibo,HUANG Honglong,LI Fangwei,et al.Trust management scheme for driver-vehicle separation on dual-layer blockchain[J].Journal on Communications,2024,45(11):59-71.
张海波,黄泓龙,李方伟等.面向双层区块链的人车分离信任管理方案[J].通信学报,2024,45(11):59-71. DOI： 10.11959/j.issn.1000-436x.2024191.

ZHANG Haibo,HUANG Honglong,LI Fangwei,et al.Trust management scheme for driver-vehicle separation on dual-layer blockchain[J].Journal on Communications,2024,45(11):59-71. DOI： 10.11959/j.issn.1000-436x.2024191.

摘要

针对车联网中车辆与驾驶员信任关系混乱导致的信任偏差问题，提出了一种基于双层区块链的人车分离信任管理方案，构建了由长期驾驶员信誉区块链和临时车辆信誉区块链组成的双层区块链架构，旨在降低系统存储负载并提升信任管理效率。首先，设计了基于模糊提取的双重密钥人车认证方法，以建立稳定的人车信任链接关系。其次，通过综合直接交互、间接交互和信息质量评价等多维度指标，全面评估了车辆信誉。此外，设计了自适应调整组规模实用拜占庭容错（AS-PBFT）共识算法，以优化共识规模和降低共识时间。最后，通过仿真实验验证结果表明，所提方案在恶意车辆识别率和区块链共识速率性能上优于现有方案。

Abstract

Aiming at the trust bias caused by chaotic trust relationships between vehicles and drivers in the Internet of vehicles

a driver-vehicle separation trust management scheme based on dual-layer blockchain was proposed

a dual-layer blockchain architecture consisting of a permanent driver reputation blockchain and a temporary vehicle reputation blockchain was constructed

aiming to reduce system storage load and improve trust management efficiency. Firstly

a dual-key driver-vehicle authentication method based on fuzzy extraction was designed to establish a stable driver-vehicle trust link. Secondly

vehicle reputation was comprehensively evaluated using multidimensional indicators including direct interaction

indirect interaction

and information quality assessment. Additionally

the adaptive size-practical Byzantine fault tolerance (AS-PBFT) consensus algorithm was designed to optimize the consensus scale and reduce consensus time. Finally

through simulation experiments

it is shown that the proposed scheme outperforms existing schemes in terms of malicious vehicle identification rate and blockchain consensus speed.

关键词

Keywords

references

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