Research on Trusted Management of Industrial Internet Identity Analysis Data Based on Blockchain

As an important part of the industrial internet, identity analysis data are growing with the expansion of the field involved in the industrial internet. The management of industrial internet identity analysis data faces many problems, such as complex types, a wide range of information, rapid growth,...

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Main Authors: Zhibo Qi, Tao Huang, Boyang Zhang, Yue Li, Xin Zhang
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/15/12/2102
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author Zhibo Qi
Tao Huang
Boyang Zhang
Yue Li
Xin Zhang
author_facet Zhibo Qi
Tao Huang
Boyang Zhang
Yue Li
Xin Zhang
author_sort Zhibo Qi
collection DOAJ
description As an important part of the industrial internet, identity analysis data are growing with the expansion of the field involved in the industrial internet. The management of industrial internet identity analysis data faces many problems, such as complex types, a wide range of information, rapid growth, reduced security, etc. In view of the above problems, a trusted management model of industrial internet identity analysis data based on blockchain is first designed. Meanwhile, the identity analysis data information is analyzed and classified, and industrial data are divided into three levels according to the degree of privacy for hierarchical encryption. Secondly, the “on-chain + off-chain” storage model combining the blockchain main-slave chain and the off-chain database is designed to improve the efficiency of the whole model. Then, a collaborative consensus mechanism suitable for the main-slave multi-chain of the industrial internet is also designed, including slave-chain CIPBFT consensus, inter-chain cross-chain transmission protocol and main chain KZKP consensus. Finally, a prototype system is built to analyze the correctness, security, scalability and consensus efficiency of the model proposed in this study. The results show that the model proposed in this study can be applied to trusted management of data information for industrial internet identity analysis, and also provides an optimized solution for the same problem in fields of the industrial internet.
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spelling doaj.art-816831967ac941a8a6e7de44b7ebae5d2023-12-22T14:45:03ZengMDPI AGSymmetry2073-89942023-11-011512210210.3390/sym15122102Research on Trusted Management of Industrial Internet Identity Analysis Data Based on BlockchainZhibo Qi0Tao Huang1Boyang Zhang2Yue Li3Xin Zhang4State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaKey Laboratory of Industrial Internet and Big Data, China National Light Industry, Beijing Technology and Business University, Beijing 100048, ChinaKey Laboratory of Industrial Internet and Big Data, China National Light Industry, Beijing Technology and Business University, Beijing 100048, ChinaKey Laboratory of Industrial Internet and Big Data, China National Light Industry, Beijing Technology and Business University, Beijing 100048, ChinaAs an important part of the industrial internet, identity analysis data are growing with the expansion of the field involved in the industrial internet. The management of industrial internet identity analysis data faces many problems, such as complex types, a wide range of information, rapid growth, reduced security, etc. In view of the above problems, a trusted management model of industrial internet identity analysis data based on blockchain is first designed. Meanwhile, the identity analysis data information is analyzed and classified, and industrial data are divided into three levels according to the degree of privacy for hierarchical encryption. Secondly, the “on-chain + off-chain” storage model combining the blockchain main-slave chain and the off-chain database is designed to improve the efficiency of the whole model. Then, a collaborative consensus mechanism suitable for the main-slave multi-chain of the industrial internet is also designed, including slave-chain CIPBFT consensus, inter-chain cross-chain transmission protocol and main chain KZKP consensus. Finally, a prototype system is built to analyze the correctness, security, scalability and consensus efficiency of the model proposed in this study. The results show that the model proposed in this study can be applied to trusted management of data information for industrial internet identity analysis, and also provides an optimized solution for the same problem in fields of the industrial internet.https://www.mdpi.com/2073-8994/15/12/2102industrial internetidentity resolution datablockchainmain-slave multi chainprivacy securitytrusted management
spellingShingle Zhibo Qi
Tao Huang
Boyang Zhang
Yue Li
Xin Zhang
Research on Trusted Management of Industrial Internet Identity Analysis Data Based on Blockchain
Symmetry
industrial internet
identity resolution data
blockchain
main-slave multi chain
privacy security
trusted management
title Research on Trusted Management of Industrial Internet Identity Analysis Data Based on Blockchain
title_full Research on Trusted Management of Industrial Internet Identity Analysis Data Based on Blockchain
title_fullStr Research on Trusted Management of Industrial Internet Identity Analysis Data Based on Blockchain
title_full_unstemmed Research on Trusted Management of Industrial Internet Identity Analysis Data Based on Blockchain
title_short Research on Trusted Management of Industrial Internet Identity Analysis Data Based on Blockchain
title_sort research on trusted management of industrial internet identity analysis data based on blockchain
topic industrial internet
identity resolution data
blockchain
main-slave multi chain
privacy security
trusted management
url https://www.mdpi.com/2073-8994/15/12/2102
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AT yueli researchontrustedmanagementofindustrialinternetidentityanalysisdatabasedonblockchain
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