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Data Trading with Differential Privacy in Data Market

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Xiao ZhengAuthors Info & Claims

ICCDE '20: Proceedings of 2020 6th International Conference on Computing and Data Engineering

Pages 112 - 115

https://doi.org/10.1145/3379247.3379271

Published: 07 March 2020 Publication History

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Abstract

In the big data era, data collection and exchange depend heavily on data trading through data market, where privacy protection, pricing and fairness is still an unanswered problem. To meet this need, in this paper, we propose a data-trading approach based on BlockChain in data market. We first redefine the request of data consumer. Then the data price is allocated according to the tolerance of error. Lastly, we utilize differential privacy to achieve the purpose of data privacy protection. Simulations, as well as experimental dataset, validate the effectiveness of our approach.

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Cited By

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Liu XZhang JWang YYang XYang X(2025)SmartZKCP: Towards Practical Data Exchange Marketplace Against Active AttacksBlockchain: Research and Applications10.1016/j.bcra.2024.100272(100272)Online publication date: Jan-2025
https://doi.org/10.1016/j.bcra.2024.100272
Fan LZhang SKong YYi XWang YXu XYu CLi HShi Y(2024)Evaluating the Privacy Valuation of Personal Data on SmartphonesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785098:3(1-33)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678509
张沁朱建高胜熊泽丁庆朴桂(2022)Incentive mechanism for federated learning based on blockchain and Bayesian gameSCIENTIA SINICA Informationis10.1360/SSI-2022-002052:6(971)Online publication date: 13-Jun-2022
https://doi.org/10.1360/SSI-2022-0020
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Index Terms

Data Trading with Differential Privacy in Data Market
1. Security and privacy
  1. Security services
    1. Privacy-preserving protocols

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ICCDE '20: Proceedings of 2020 6th International Conference on Computing and Data Engineering

January 2020

279 pages

ISBN:9781450376730

DOI:10.1145/3379247

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 March 2020

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Sichuan Provincial Department of Education's Fund for Educational Research and Reform Projects
Ministry of Education's Fund for Educational Research Projects

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ICCDE 2020

ICCDE 2020: 2020 The 6th International Conference on Computing and Data Engineering

January 4 - 6, 2020

Sanya, China

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Liu XZhang JWang YYang XYang X(2025)SmartZKCP: Towards Practical Data Exchange Marketplace Against Active AttacksBlockchain: Research and Applications10.1016/j.bcra.2024.100272(100272)Online publication date: Jan-2025
https://doi.org/10.1016/j.bcra.2024.100272
Fan LZhang SKong YYi XWang YXu XYu CLi HShi Y(2024)Evaluating the Privacy Valuation of Personal Data on SmartphonesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785098:3(1-33)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678509
张沁朱建高胜熊泽丁庆朴桂(2022)Incentive mechanism for federated learning based on blockchain and Bayesian gameSCIENTIA SINICA Informationis10.1360/SSI-2022-002052:6(971)Online publication date: 13-Jun-2022
https://doi.org/10.1360/SSI-2022-0020
Zhang XKhalili MLiu M(2022)Differentially Private Real-Time Release of Sequential DataACM Transactions on Privacy and Security10.1145/354483726:1(1-29)Online publication date: 7-Nov-2022
https://dl.acm.org/doi/10.1145/3544837
Badewitz WHengesbach CWeinhardt C(2022)Challenges of pricing data assets: a literature review2022 IEEE 24th Conference on Business Informatics (CBI)10.1109/CBI54897.2022.00016(80-89)Online publication date: Jun-2022
https://doi.org/10.1109/CBI54897.2022.00016
Garrido GSedlmeir JUludağ ÖAlaoui ILuckow AMatthes F(2022)Revealing the landscape of privacy-enhancing technologies in the context of data markets for the IoTJournal of Network and Computer Applications10.1016/j.jnca.2022.103465207:COnline publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1016/j.jnca.2022.103465
Kieseberg PSchrittwieser SWeippl E(2021)Secure Internal Data MarketsFuture Internet10.3390/fi1308020813:8(208)Online publication date: 12-Aug-2021
https://doi.org/10.3390/fi13080208

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Personal big data pricing method based on differential privacy

An Incentive Mechanism for Trading Personal Data in Data Markets

Blockchain and differential privacy-based data processing system for data security and privacy in urban computing

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