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

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 wa...

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Main Authors: Zijia MO, Zhipeng GAO, Yang YANG, Yijing LIN, Shan SUN, Chen ZHAO
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2022-04-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022074/
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author Zijia MO
Zhipeng GAO
Yang YANG
Yijing LIN
Shan SUN
Chen ZHAO
author_facet Zijia MO
Zhipeng GAO
Yang YANG
Yijing LIN
Shan SUN
Chen ZHAO
author_sort Zijia MO
collection DOAJ
description 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.
format Article
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institution Kabale University
issn 1000-436X
language zho
publishDate 2022-04-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-0e6badff49904c31930de486b94858742025-01-14T06:30:13ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2022-04-0143839459396777Efficient distributed model sharing strategy for data privacy protection in Internet of vehiclesZijia MOZhipeng GAOYang YANGYijing LINShan SUNChen ZHAOAiming 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.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022074/blockchainIoVfederated learningedge computing
spellingShingle Zijia MO
Zhipeng GAO
Yang YANG
Yijing LIN
Shan SUN
Chen ZHAO
Efficient distributed model sharing strategy for data privacy protection in Internet of vehicles
Tongxin xuebao
blockchain
IoV
federated learning
edge computing
title Efficient distributed model sharing strategy for data privacy protection in Internet of vehicles
title_full Efficient distributed model sharing strategy for data privacy protection in Internet of vehicles
title_fullStr Efficient distributed model sharing strategy for data privacy protection in Internet of vehicles
title_full_unstemmed Efficient distributed model sharing strategy for data privacy protection in Internet of vehicles
title_short Efficient distributed model sharing strategy for data privacy protection in Internet of vehicles
title_sort efficient distributed model sharing strategy for data privacy protection in internet of vehicles
topic blockchain
IoV
federated learning
edge computing
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022074/
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AT zhipenggao efficientdistributedmodelsharingstrategyfordataprivacyprotectionininternetofvehicles
AT yangyang efficientdistributedmodelsharingstrategyfordataprivacyprotectionininternetofvehicles
AT yijinglin efficientdistributedmodelsharingstrategyfordataprivacyprotectionininternetofvehicles
AT shansun efficientdistributedmodelsharingstrategyfordataprivacyprotectionininternetofvehicles
AT chenzhao efficientdistributedmodelsharingstrategyfordataprivacyprotectionininternetofvehicles