A Fair and Privacy-Preserving Image Trading System Based on Blockchain and Group Signature

With the rise of digital images in our daily lives, there is a growing need to provide an image trading market where people can monetize their images and get desired images at prices that fit their budget. Those images are usually uploaded and stored onto centralized image trading service providers’...

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Autores principales: Le Wang, Xuefeng Liu, Xiaodong Lin
Formato: article
Lenguaje:EN
Publicado: Hindawi-Wiley 2021
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Acceso en línea:https://doaj.org/article/4f9bc7a95f0e495fabce61fab7c80cd5
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spelling oai:doaj.org-article:4f9bc7a95f0e495fabce61fab7c80cd52021-11-08T02:37:13ZA Fair and Privacy-Preserving Image Trading System Based on Blockchain and Group Signature1939-012210.1155/2021/5701258https://doaj.org/article/4f9bc7a95f0e495fabce61fab7c80cd52021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5701258https://doaj.org/toc/1939-0122With the rise of digital images in our daily lives, there is a growing need to provide an image trading market where people can monetize their images and get desired images at prices that fit their budget. Those images are usually uploaded and stored onto centralized image trading service providers’ servers and the transactions for image trading are processed by these providers. Unfortunately, transaction unfairness and users’ privacy breaches have become major concerns since the service providers might be untrusted and able to manipulate image trading prices and infer users’ private information. Recently, several approaches have been proposed to address the unfairness issue by using the decentralized ledger technique and smart contract, but users’ privacy protection is not considered. In this paper, we propose a fair and privacy-preserving protocol that supports image fair exchange and protect user privacy. In particular, we exploit blockchain and Merkle tree to construct a fair image trading protocol with low communication overhead based on smart contract, which serves as an external judge that resolves disputes between buyers and sellers in image transactions. Moreover, we extend a popular short group signature scheme to protect users’ identity privacy, prevent linkability of transactions from being inferred, and ensure traceability of malicious users who may sell fake images and/or refuse to pay. Finally, we design and build a practical and open-source image trading system to evaluate the performance of our proposed protocol. Experimental results demonstrate its effectiveness and efficiency in real-world applications.Le WangXuefeng LiuXiaodong LinHindawi-WileyarticleTechnology (General)T1-995Science (General)Q1-390ENSecurity and Communication Networks, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology (General)
T1-995
Science (General)
Q1-390
spellingShingle Technology (General)
T1-995
Science (General)
Q1-390
Le Wang
Xuefeng Liu
Xiaodong Lin
A Fair and Privacy-Preserving Image Trading System Based on Blockchain and Group Signature
description With the rise of digital images in our daily lives, there is a growing need to provide an image trading market where people can monetize their images and get desired images at prices that fit their budget. Those images are usually uploaded and stored onto centralized image trading service providers’ servers and the transactions for image trading are processed by these providers. Unfortunately, transaction unfairness and users’ privacy breaches have become major concerns since the service providers might be untrusted and able to manipulate image trading prices and infer users’ private information. Recently, several approaches have been proposed to address the unfairness issue by using the decentralized ledger technique and smart contract, but users’ privacy protection is not considered. In this paper, we propose a fair and privacy-preserving protocol that supports image fair exchange and protect user privacy. In particular, we exploit blockchain and Merkle tree to construct a fair image trading protocol with low communication overhead based on smart contract, which serves as an external judge that resolves disputes between buyers and sellers in image transactions. Moreover, we extend a popular short group signature scheme to protect users’ identity privacy, prevent linkability of transactions from being inferred, and ensure traceability of malicious users who may sell fake images and/or refuse to pay. Finally, we design and build a practical and open-source image trading system to evaluate the performance of our proposed protocol. Experimental results demonstrate its effectiveness and efficiency in real-world applications.
format article
author Le Wang
Xuefeng Liu
Xiaodong Lin
author_facet Le Wang
Xuefeng Liu
Xiaodong Lin
author_sort Le Wang
title A Fair and Privacy-Preserving Image Trading System Based on Blockchain and Group Signature
title_short A Fair and Privacy-Preserving Image Trading System Based on Blockchain and Group Signature
title_full A Fair and Privacy-Preserving Image Trading System Based on Blockchain and Group Signature
title_fullStr A Fair and Privacy-Preserving Image Trading System Based on Blockchain and Group Signature
title_full_unstemmed A Fair and Privacy-Preserving Image Trading System Based on Blockchain and Group Signature
title_sort fair and privacy-preserving image trading system based on blockchain and group signature
publisher Hindawi-Wiley
publishDate 2021
url https://doaj.org/article/4f9bc7a95f0e495fabce61fab7c80cd5
work_keys_str_mv AT lewang afairandprivacypreservingimagetradingsystembasedonblockchainandgroupsignature
AT xuefengliu afairandprivacypreservingimagetradingsystembasedonblockchainandgroupsignature
AT xiaodonglin afairandprivacypreservingimagetradingsystembasedonblockchainandgroupsignature
AT lewang fairandprivacypreservingimagetradingsystembasedonblockchainandgroupsignature
AT xuefengliu fairandprivacypreservingimagetradingsystembasedonblockchainandgroupsignature
AT xiaodonglin fairandprivacypreservingimagetradingsystembasedonblockchainandgroupsignature
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