Privacy-Preserved Credit Data Sharing Integrating Blockchain and Federated Learning for Industrial 4.0 | IEEE Journals & Magazine | IEEE Xplore

Privacy-Preserved Credit Data Sharing Integrating Blockchain and Federated Learning for Industrial 4.0


Abstract:

In this article, we aim to design an architecture for privacy-preserved credit data and model sharing to guarantee the secure storage and sharing of credit information in...Show More

Abstract:

In this article, we aim to design an architecture for privacy-preserved credit data and model sharing to guarantee the secure storage and sharing of credit information in a distributed environment. The proposed architecture optimizes the data privacy by sharing the data model instead of revealing the actual data. This article also proposes an efficient credit data storage mechanism combined with a deletable Bloom filter to guarantee a uniform consensus for the training and computation process. In addition, we propose authority control contract and credit verification contract for the secure certification of credit sharing model results under federated learning. Extensive experimental results and security analysis demonstrate that our proposed credit model sharing system based on federated learning and blockchain is of high accuracy, efficiency, as well as stability. In particular, the findings of this article could alleviate the potential credit crisis under financial pressure that assist to economic recovery after the global COVID-19 pandemic. Our approach has further boosted up the demand for efficient, secure credit models for Industry 4.0.
Published in: IEEE Transactions on Industrial Informatics ( Volume: 18, Issue: 12, December 2022)
Page(s): 8755 - 8764
Date of Publication: 16 February 2022

ISSN Information:

Funding Agency:

Author image of Fan Yang
School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China
Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Leiden, The Netherlands
Fan Yang is currently working toward the double Ph.D. degree in computer science with the Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands.
His current research interests include blockchain technology, credit data mining, neural architecture search technology, and automated machine learning.
Mr. Yang is an active Reviewer for some international journals.
Fan Yang is currently working toward the double Ph.D. degree in computer science with the Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands.
His current research interests include blockchain technology, credit data mining, neural architecture search technology, and automated machine learning.
Mr. Yang is an active Reviewer for some international journals.View more
Author image of Yanan Qiao
School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China
Yanan Qiao received the Ph.D. degree in computer science and technology from Xi’an Jiaotong University, Xi’an, China, in 2010.
He is currently an Associate Professor with the School of Computer Science and Technology, Xi’an Jiaotong University. His current research interests include blockchain applications, consensus mechanisms, privacy preserving methods, smart contracts, and trusted transactions.
Dr. Qiao is an active Rev...Show More
Yanan Qiao received the Ph.D. degree in computer science and technology from Xi’an Jiaotong University, Xi’an, China, in 2010.
He is currently an Associate Professor with the School of Computer Science and Technology, Xi’an Jiaotong University. His current research interests include blockchain applications, consensus mechanisms, privacy preserving methods, smart contracts, and trusted transactions.
Dr. Qiao is an active Rev...View more
Author image of Mohammad Zoynul Abedin
Teesside University International Business School, Teesside University, Middlesbrough, Tees Valley, U.K.
Mohammad Zoynul Abedin received the Ph.D. degree in investment theory from Dalian University of Technology, Dalian, China, in 2018.
He is a Senior Lecturer in FinTech with Teesside University International Business School, Teesside University, Middlesbrough, U. K. He has a “Team Big Data” research team and contributes regularly to the top-tier peer-reviewed journals. His current research interests include algorithms, artif...Show More
Mohammad Zoynul Abedin received the Ph.D. degree in investment theory from Dalian University of Technology, Dalian, China, in 2018.
He is a Senior Lecturer in FinTech with Teesside University International Business School, Teesside University, Middlesbrough, U. K. He has a “Team Big Data” research team and contributes regularly to the top-tier peer-reviewed journals. His current research interests include algorithms, artif...View more
Author image of Cheng Huang
Xi’an Huawei Technologies Company, Ltd., Xi’an, China
Cheng Huang received the M.Eng. degree in computer science and technology from Xi’an Jiaotong University, Xi’an, China, in 2021.
He is currently an R&D Engineer with Xi’an Huawei Technologies Company, Ltd., Xi’an, China. His current research interests include blockchain technology, deep learning, trusted transactions, and credit big data mining.
Cheng Huang received the M.Eng. degree in computer science and technology from Xi’an Jiaotong University, Xi’an, China, in 2021.
He is currently an R&D Engineer with Xi’an Huawei Technologies Company, Ltd., Xi’an, China. His current research interests include blockchain technology, deep learning, trusted transactions, and credit big data mining.View more

Author image of Fan Yang
School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China
Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Leiden, The Netherlands
Fan Yang is currently working toward the double Ph.D. degree in computer science with the Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands.
His current research interests include blockchain technology, credit data mining, neural architecture search technology, and automated machine learning.
Mr. Yang is an active Reviewer for some international journals.
Fan Yang is currently working toward the double Ph.D. degree in computer science with the Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands.
His current research interests include blockchain technology, credit data mining, neural architecture search technology, and automated machine learning.
Mr. Yang is an active Reviewer for some international journals.View more
Author image of Yanan Qiao
School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China
Yanan Qiao received the Ph.D. degree in computer science and technology from Xi’an Jiaotong University, Xi’an, China, in 2010.
He is currently an Associate Professor with the School of Computer Science and Technology, Xi’an Jiaotong University. His current research interests include blockchain applications, consensus mechanisms, privacy preserving methods, smart contracts, and trusted transactions.
Dr. Qiao is an active Reviewer for some international journals.
Yanan Qiao received the Ph.D. degree in computer science and technology from Xi’an Jiaotong University, Xi’an, China, in 2010.
He is currently an Associate Professor with the School of Computer Science and Technology, Xi’an Jiaotong University. His current research interests include blockchain applications, consensus mechanisms, privacy preserving methods, smart contracts, and trusted transactions.
Dr. Qiao is an active Reviewer for some international journals.View more
Author image of Mohammad Zoynul Abedin
Teesside University International Business School, Teesside University, Middlesbrough, Tees Valley, U.K.
Mohammad Zoynul Abedin received the Ph.D. degree in investment theory from Dalian University of Technology, Dalian, China, in 2018.
He is a Senior Lecturer in FinTech with Teesside University International Business School, Teesside University, Middlesbrough, U. K. He has a “Team Big Data” research team and contributes regularly to the top-tier peer-reviewed journals. His current research interests include algorithms, artificial intelligence, and data mining. He has authored and co-authored more than 70 research papers on top-tier peer-reviewed journals, conferences, and book chapters.
Dr. Abedin is a Guest Editor for Annals of Operations Research and ABS-3 Journal. He is an active Reviewer for some international journals.
Mohammad Zoynul Abedin received the Ph.D. degree in investment theory from Dalian University of Technology, Dalian, China, in 2018.
He is a Senior Lecturer in FinTech with Teesside University International Business School, Teesside University, Middlesbrough, U. K. He has a “Team Big Data” research team and contributes regularly to the top-tier peer-reviewed journals. His current research interests include algorithms, artificial intelligence, and data mining. He has authored and co-authored more than 70 research papers on top-tier peer-reviewed journals, conferences, and book chapters.
Dr. Abedin is a Guest Editor for Annals of Operations Research and ABS-3 Journal. He is an active Reviewer for some international journals.View more
Author image of Cheng Huang
Xi’an Huawei Technologies Company, Ltd., Xi’an, China
Cheng Huang received the M.Eng. degree in computer science and technology from Xi’an Jiaotong University, Xi’an, China, in 2021.
He is currently an R&D Engineer with Xi’an Huawei Technologies Company, Ltd., Xi’an, China. His current research interests include blockchain technology, deep learning, trusted transactions, and credit big data mining.
Cheng Huang received the M.Eng. degree in computer science and technology from Xi’an Jiaotong University, Xi’an, China, in 2021.
He is currently an R&D Engineer with Xi’an Huawei Technologies Company, Ltd., Xi’an, China. His current research interests include blockchain technology, deep learning, trusted transactions, and credit big data mining.View more

References

References is not available for this document.