Efficient distributed model sharing strategy for data privacy protection in Internet of vehicles

Zijia MO; Zhipeng GAO; Yang YANG; Yijing LIN; Shan SUN; Chen ZHAO

doi:10.11959/j.issn.1000-436x.2022074

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Efficient distributed model sharing strategy for data privacy protection in Internet of vehicles

Papers | 更新时间：2024-06-05

- Efficient distributed model sharing strategy for data privacy protection in Internet of vehicles
- Journal on Communications Vol. 43, Issue 4, Pages: 83-94(2022)
- 作者机构：
  
  北京邮电大学网络与交换技术国家重点实验室，北京 100876
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62072049)
- DOI：10.11959/j.issn.1000-436x.2022074
  CLC： TP393
- Online First：2022-04，
  
  Published：25 April 2022
- 稿件说明：
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Zijia MO, Zhipeng GAO, Yang YANG, et al. Efficient distributed model sharing strategy for data privacy protection in Internet of vehicles[J]. Journal on Communications, 2022, 43(4): 83-94.
DOI：

Zijia MO, Zhipeng GAO, Yang YANG, et al. Efficient distributed model sharing strategy for data privacy protection in Internet of vehicles[J]. Journal on Communications, 2022, 43(4): 83-94. DOI： 10.11959/j.issn.1000-436x.2022074.

摘要

针对车联网隐私数据共享面临的效率问题，提出了基于区块链的高效分布式模型共享策略。针对车联网场景下多实体、多角色的数据共享需求，通过在车辆、路边单元和基站之间构建主从链架构，实现了分布式模型安全共享；提出了基于激励机制的异步联邦学习算法，以激励车辆及路边单元参与优化过程；构造了混合 PBFT的改进DPoS共识算法来降低通信成本、提高共识效率。实验分析表明，所提机制能够提高数据共享效率，并具有一定的可扩展性。

Abstract

Aiming at the efficiency problem of privacy data sharing in the Internet of vehicles (IoV)

an efficient distributed model sharing strategy based on blockchain was proposed.In response to the data sharing requirements among multiple entities and roles in the IoV

a master-slave chain architecture was built between vehicles

roadside units

and base stations to achieve secure sharing of distributed models.An asynchronous federated learning algorithm based on motivate mechanism was proposed to encourage vehicles and roadside units to participate in the optimization process.An improved DPoS consensus algorithm with hybrid PBFT was constructed to reduce communication costs and improve consensus efficiency.Experimental analysis shows that the proposed mechanism can improve the efficiency of data sharing and has certain scalability.

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references

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