A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoT
The rapid development of the Internet of Things (IoT) has resulted in vast amounts of widely distributed data. Sharing these data can spur innovative advancements and enhance service quality. However, conventional data-sharing methods often involve third-party intermediaries, posing risks of single-...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/22/12389 |
| _version_ | 1797460270422949888 |
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| author | Wei Zhou De Zhang Guangjie Han Wenyin Zhu Xupeng Wang |
| author_facet | Wei Zhou De Zhang Guangjie Han Wenyin Zhu Xupeng Wang |
| author_sort | Wei Zhou |
| collection | DOAJ |
| description | The rapid development of the Internet of Things (IoT) has resulted in vast amounts of widely distributed data. Sharing these data can spur innovative advancements and enhance service quality. However, conventional data-sharing methods often involve third-party intermediaries, posing risks of single-point failures and privacy leaks. Moreover, these traditional sharing methods lack a secure transaction model to compensate for data sharing, which makes ensuring fair payment between data consumers and providers challenging. Blockchain, as a decentralized, secure, and trustworthy distributed ledger, offers a novel solution for data sharing. Nevertheless, since all nodes on the blockchain can access on-chain data, data privacy is inadequately protected, and traditional privacy-preserving methods like anonymization and generalization are ineffective against attackers with background knowledge. To address these issues, this paper proposes a decentralized, privacy-preserving, and fair data transaction model based on blockchain technology. We designed an adaptive local differential privacy algorithm, MDLDP, to protect the privacy of transaction data. Concurrently, verifiable encrypted signatures are employed to address the issue of fair payment during the data transaction process. This model proposes a committee structure to replace the individual arbitrator commonly seen in traditional verifiable encrypted signatures, thereby reducing potential collusion between dishonest traders and the arbitrator. The arbitration committee leverages threshold signature techniques to manage arbitration private keys. A full arbitration private key can only be collaboratively constructed by any arbitrary <i>t</i> members, ensuring the key’s security. Theoretical analyses and experimental results reveal that, in comparison to existing approaches, our model delivers enhanced transactional security. Moreover, while guaranteeing data availability, MDLDP affords elevated privacy protection. |
| first_indexed | 2024-03-09T17:03:45Z |
| format | Article |
| id | doaj.art-ac62c86eb7834e3396ba47c2260646b6 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T17:03:45Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-ac62c86eb7834e3396ba47c2260646b62023-11-24T14:27:33ZengMDPI AGApplied Sciences2076-34172023-11-0113221238910.3390/app132212389A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoTWei Zhou0De Zhang1Guangjie Han2Wenyin Zhu3Xupeng Wang4School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, ChinaSchool of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, ChinaCollege of Internet of Things Engineering, Hohai University, Changzhou 213022, ChinaQingdao Haier Smart Technology R&D Co., Ltd., Qingdao 266101, ChinaSchool of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, ChinaThe rapid development of the Internet of Things (IoT) has resulted in vast amounts of widely distributed data. Sharing these data can spur innovative advancements and enhance service quality. However, conventional data-sharing methods often involve third-party intermediaries, posing risks of single-point failures and privacy leaks. Moreover, these traditional sharing methods lack a secure transaction model to compensate for data sharing, which makes ensuring fair payment between data consumers and providers challenging. Blockchain, as a decentralized, secure, and trustworthy distributed ledger, offers a novel solution for data sharing. Nevertheless, since all nodes on the blockchain can access on-chain data, data privacy is inadequately protected, and traditional privacy-preserving methods like anonymization and generalization are ineffective against attackers with background knowledge. To address these issues, this paper proposes a decentralized, privacy-preserving, and fair data transaction model based on blockchain technology. We designed an adaptive local differential privacy algorithm, MDLDP, to protect the privacy of transaction data. Concurrently, verifiable encrypted signatures are employed to address the issue of fair payment during the data transaction process. This model proposes a committee structure to replace the individual arbitrator commonly seen in traditional verifiable encrypted signatures, thereby reducing potential collusion between dishonest traders and the arbitrator. The arbitration committee leverages threshold signature techniques to manage arbitration private keys. A full arbitration private key can only be collaboratively constructed by any arbitrary <i>t</i> members, ensuring the key’s security. Theoretical analyses and experimental results reveal that, in comparison to existing approaches, our model delivers enhanced transactional security. Moreover, while guaranteeing data availability, MDLDP affords elevated privacy protection.https://www.mdpi.com/2076-3417/13/22/12389blockchainInternet of Thingsdata transactionlocal differential privacyverifiable encrypted signature |
| spellingShingle | Wei Zhou De Zhang Guangjie Han Wenyin Zhu Xupeng Wang A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoT Applied Sciences blockchain Internet of Things data transaction local differential privacy verifiable encrypted signature |
| title | A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoT |
| title_full | A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoT |
| title_fullStr | A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoT |
| title_full_unstemmed | A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoT |
| title_short | A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoT |
| title_sort | blockchain based privacy preserving and fair data transaction model in iot |
| topic | blockchain Internet of Things data transaction local differential privacy verifiable encrypted signature |
| url | https://www.mdpi.com/2076-3417/13/22/12389 |
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