Distributed trust management scheme based on blockchain in Internet of vehicles

Haibo ZHANG; Yukun CAO; Kaijian LIU; Ruyan WANG

doi:10.11959/j.issn.1000-436x.2023097

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Distributed trust management scheme based on blockchain in Internet of vehicles

Papers | 更新时间：2024-06-06

- Distributed trust management scheme based on blockchain in Internet of vehicles
- Journal on Communications Vol. 44, Issue 5, Pages: 148-157(2023)
- 作者机构：
  
  1. 重庆邮电大学通信与信息工程学院，重庆 400065
  2. 先进网络与智能互联技术重庆市高校重点实验室，重庆 400065
  3. 泛在感知与互联重庆市重点实验室，重庆 400065
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61901071);The National Natural Science Foundation of China(62271094);Program for Changjiang Scholars and Innovative Research Team in University(IRT16R72);Chongqing Innovation and Entrepreneurship Project for Returned Overseas Chinese Scholars(cx2020059)
- DOI：10.11959/j.issn.1000-436x.2023097
  CLC： TN92
- Online First：2023-05，
  
  Published：25 May 2023
- 稿件说明：
移动端阅览
Haibo ZHANG, Yukun CAO, Kaijian LIU, et al. Distributed trust management scheme based on blockchain in Internet of vehicles[J]. Journal on Communications, 2023, 44(5): 148-157.
DOI：

Haibo ZHANG, Yukun CAO, Kaijian LIU, et al. Distributed trust management scheme based on blockchain in Internet of vehicles[J]. Journal on Communications, 2023, 44(5): 148-157. DOI： 10.11959/j.issn.1000-436x.2023097.

摘要

针对车联网中恶意车辆识别效率低、识别准确率低带来的安全问题，提出了一种基于区块链的分布式车联网信任管理方案。通过聚合车辆的评分信息，结合贝叶斯推理模型设计了一种虚假信息识别策略。联合车辆历史交互信息以及交通事件信息设计了一种声誉值更新算法，并利用声誉阈值识别恶意车辆。通过路边单元构建区块链，实现了交通数据以及车辆声誉值的分布式存储。改进了传统的工作量证明共识机制，通过事件等级与参与评分车辆数量动态改变矿工节点的出块难度，并利用等待机制使近期出块的节点暂时停止参与矿工节点的选举过程，从而减少重复计算带来的资源消耗。仿真结果表明，所提方案能够有效识别虚假信息，抵御恶意车辆的欺骗行为，提升恶意车辆的识别效率，减少资源消耗，在车联网的分布式信任管理方面是有效可行的。

Abstract

Aiming at the security problems caused by the low efficiency and accuracy of malicious vehicle identification in Internet of vehicles

a distributed trust management scheme based on blockchain in Internet of vehicles was proposed.A false information identification strategy was designed by aggregating the scoring information of vehicles

combined with Bayesian inference model.A reputation value updating algorithm was designed by combining the historical interaction information of vehicles and traffic information

malicious vehicles were identified by the reputation threshold.A blockchain was constructed roadside units to realize the distributed storage of traffic data and vehicle reputation values.The traditional proof of work consensus mechanism was improved to dynamically change the difficulty of miner node generating a block through the event level and the number of vehicles involved in scoring

and the waiting mechanism was used to temporarily stop the nodes that had recently blocked from participating in the election process of miner nodes

thus reducing the resource consumption caused by repeated calculations.The simulation results show that the proposed scheme can effectively identify false information

resist the deceptive behavior of malicious vehicles

improve the identification efficiency of malicious vehicles

reduce resource consumption

and is effective and feasible in distributed trust management for Internet of vehicles.

关键词

Keywords

references

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