Industrial Internet Federated Learning Driven by IoT Equipment ID and Blockchain

With the development of Internet of Things (IoT), 5G, and industrial technology, Industrial Internet has become an emerging research field. Due to the industrial specialty, higher requirements are put forward for time delay, safety, and stability of the identification analysis service. The tradition...

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Autores principales: Xu Zhang, Haibo Hou, Zhao Fang, Zhiqian Wang
Formato: article
Lenguaje:EN
Publicado: Hindawi-Wiley 2021
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Acceso en línea:https://doaj.org/article/46c950201c684e4abc1da301355e5610
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spelling oai:doaj.org-article:46c950201c684e4abc1da301355e56102021-11-22T01:09:52ZIndustrial Internet Federated Learning Driven by IoT Equipment ID and Blockchain1530-867710.1155/2021/7705843https://doaj.org/article/46c950201c684e4abc1da301355e56102021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7705843https://doaj.org/toc/1530-8677With the development of Internet of Things (IoT), 5G, and industrial technology, Industrial Internet has become an emerging research field. Due to the industrial specialty, higher requirements are put forward for time delay, safety, and stability of the identification analysis service. The traditional domain name system (DNS) cannot meet the requirements of industrial Internet because of the single form of identification subject and weak awareness of security protection. As a solution, this work applies blockchain and federated learning (FL) to the industrial Internet identification. Blockchain is a decentralized infrastructure widely used in digital encrypted currencies such as Bitcoin, which can make secure data storage and access possible. Federated learning protects terminal personal data privacy and can carry out efficient machine learning among multiple participants. The numerical results justify that our proposed federated learning and blockchain combination lays a strong foundation for the development of future industrial Internet.Xu ZhangHaibo HouZhao FangZhiqian WangHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology
T
Telecommunication
TK5101-6720
spellingShingle Technology
T
Telecommunication
TK5101-6720
Xu Zhang
Haibo Hou
Zhao Fang
Zhiqian Wang
Industrial Internet Federated Learning Driven by IoT Equipment ID and Blockchain
description With the development of Internet of Things (IoT), 5G, and industrial technology, Industrial Internet has become an emerging research field. Due to the industrial specialty, higher requirements are put forward for time delay, safety, and stability of the identification analysis service. The traditional domain name system (DNS) cannot meet the requirements of industrial Internet because of the single form of identification subject and weak awareness of security protection. As a solution, this work applies blockchain and federated learning (FL) to the industrial Internet identification. Blockchain is a decentralized infrastructure widely used in digital encrypted currencies such as Bitcoin, which can make secure data storage and access possible. Federated learning protects terminal personal data privacy and can carry out efficient machine learning among multiple participants. The numerical results justify that our proposed federated learning and blockchain combination lays a strong foundation for the development of future industrial Internet.
format article
author Xu Zhang
Haibo Hou
Zhao Fang
Zhiqian Wang
author_facet Xu Zhang
Haibo Hou
Zhao Fang
Zhiqian Wang
author_sort Xu Zhang
title Industrial Internet Federated Learning Driven by IoT Equipment ID and Blockchain
title_short Industrial Internet Federated Learning Driven by IoT Equipment ID and Blockchain
title_full Industrial Internet Federated Learning Driven by IoT Equipment ID and Blockchain
title_fullStr Industrial Internet Federated Learning Driven by IoT Equipment ID and Blockchain
title_full_unstemmed Industrial Internet Federated Learning Driven by IoT Equipment ID and Blockchain
title_sort industrial internet federated learning driven by iot equipment id and blockchain
publisher Hindawi-Wiley
publishDate 2021
url https://doaj.org/article/46c950201c684e4abc1da301355e5610
work_keys_str_mv AT xuzhang industrialinternetfederatedlearningdrivenbyiotequipmentidandblockchain
AT haibohou industrialinternetfederatedlearningdrivenbyiotequipmentidandblockchain
AT zhaofang industrialinternetfederatedlearningdrivenbyiotequipmentidandblockchain
AT zhiqianwang industrialinternetfederatedlearningdrivenbyiotequipmentidandblockchain
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