A privacy-preserving statistics marketplace using local differential privacy and blockchain: An application to smart-grid measurements sharing

Fotiou, Nikos; Pittaras, Iakovos; Siris, Vasilios A.; Polyzos, George C.; Anton, Priit

doi:10.1016/j.bcra.2021.100022

Cited by 8 publications

(8 citation statements)

References 7 publications

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“…To protect privacy, BP2P-FL uses differential privacy techniques to disturb the global datasharing model, but this mechanism cannot guarantee privacy safety during the federated learning process. Fotiou et al [10] proposed a data transaction model employing Local Differential Privacy (LDP) to safeguard data provider privacy and devised a blockchainbased solution to ensure fair exchange and immutable data logs. However, traditional LDP mechanisms cannot fit well with blockchain since the requirements of a fixed input range, large data volume, and using the same privacy budget, which are practically difficult in a decentralized environment.…”

Section: Blockchain and Differential Privacymentioning

confidence: 99%

“…This inadequacy is evident from significant privacy leaks in datasets like AOL [7] and Netflix [8], leading to questions about the effectiveness of these methods in protecting user privacy. Differential privacy, which is a notable method to counter attackers with background knowledge, operates by adding random "noise" to datasets to ensure data privacy [9,10]. However, while differential privacy introduces "noise" to maintain privacy, it compromises data availability.…”

Section: Introductionmentioning

confidence: 99%

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A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoT

Zhou,

Zhang,

Han

et al. 2023

Applied Sciences

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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 t 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.

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Section: Blockchain and Differential Privacymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoT

Zhou,

Zhang,

Han

et al. 2023

Applied Sciences

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“…However, in the process of building the public service platform for smart tourism, there is a lack of relevant standards and norms system, which only pays attention to the construction of the application layer of the platform and neglects the construction of the standards and norms system. There is a situation of "emphasizing construction, neglecting standardization", and lack of standardized standards to guide it, which will surely lay hidden dangers for the development of future platforms [5][6].…”

Section: 3lack Of Standard Specification Systemmentioning

confidence: 99%

Application of Blockchain Technology in Smart Tourism

Liang¹

2022

Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)

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Smart tourism comes into being with the development of information technology. With the help of modern science and technology, smart tourism can realize service wisdom, management wisdom and marketing wisdom, which can not only further improve the tourist experience, but also enhance the international market competitiveness of China's tourist attractions, and at the same time enhance the protection of tourist attractions, thus helping China's tourism industry to achieve rapid development. At the same time, the extensive application of blockchain technology also provides technical support for the development of the tourism industry, making it possible to build a smart tourism platform based on blockchain. This paper briefly introduces the basic principle of blockchain and analyzes the application scenarios of blockchain in tourism, so as to discuss the practical significance of blockchain and smart tourism, and provide reference for future related research.

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“…Meanwhile, local differential privacy anonymizes the data by adding some "noise" to the data. This allowed us to perform computations on anonymized data [56]. Moreover, the fully homomorphic encryption protocol allows mathematical operations to be performed on encrypted data [35], [58].…”

Section: ) Confidentiality and Integritymentioning

confidence: 99%

“…Solution Category [34], [35], [55] ZKP [36], [57] Encryption Anony- [56] Local differential privacy mization [58] Homomorphic Encryption [59] Quantum cryptography [32], [33], [42], [43], [45], [46], [60]- [62], [64], [67], [75], [79]- [81], [87], [90] Access control using smart contract [37], [38], [69]- [73] Access control using ABE [37], [38] ABE with overhead reduction [70] ABE embedded in consensus Access control [71], [73] ABE with revocation/overhead reduction [72] ABE with revocation [68] Proof of attributes [39] ACL [41] Unprocessed request pool [66] Private data transaction etc. [69], [72] Multi-chain tages of permissionless and permissioned types.…”

Section: Articlementioning

confidence: 99%

A Gap Between Blockchain and General Data Protection Regulation: A Systematic Review

Han

Park

2022

IEEE Access

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As a service platform, blockchain has faced compliance issues since the General Data Protection Regulation (GDPR) came into effect in May 2018. Although many technical solutions have been proposed to solve the compatibility issues between blockchain and the GDPR, unresolved challenges remain. This study presents the gaps between the blockchain and the GDPR and explores solutions to bridge the gap. We review 91 previously published articles using a systematic literature review methodology. Then, we answer the following research questions: 1) Which solutions have been explored to allow the blockchain to comply with the GDPR? 2) What are the research gaps in the blockchain compliance field? Finally, we present five research gaps in this field: 1) development of a consent ontology model; 2) development of a methodology for monitoring fairness in the blockchain; 3) resolution of the contradiction between auditing and obfuscation; 4) development of a methodology for tracking controllers in the blockchain; and 5) integration of the different-purposed technical solutions without conflicts. Our research can raise the compatibility level of the blockchain and GDPR and guide the company adopting a blockchain to comply with the GDPR. Furthermore, it can advise the regulator to embrace new technologies into the GDPR while protecting a blockchain's nature.

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A privacy-preserving statistics marketplace using local differential privacy and blockchain: An application to smart-grid measurements sharing

Cited by 8 publications

References 7 publications

A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoT

A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoT

Application of Blockchain Technology in Smart Tourism

A Gap Between Blockchain and General Data Protection Regulation: A Systematic Review

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