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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2022-04-01
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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 |
id | doaj-art-0e6badff49904c31930de486b9485874 |
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/ |
work_keys_str_mv | AT zijiamo efficientdistributedmodelsharingstrategyfordataprivacyprotectionininternetofvehicles AT zhipenggao efficientdistributedmodelsharingstrategyfordataprivacyprotectionininternetofvehicles AT yangyang efficientdistributedmodelsharingstrategyfordataprivacyprotectionininternetofvehicles AT yijinglin efficientdistributedmodelsharingstrategyfordataprivacyprotectionininternetofvehicles AT shansun efficientdistributedmodelsharingstrategyfordataprivacyprotectionininternetofvehicles AT chenzhao efficientdistributedmodelsharingstrategyfordataprivacyprotectionininternetofvehicles |