Locally Differentially Private Personal Data Markets Using Contextual Dynamic Pricing Mechanism-Reference-Cited by-同舟云学术

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Locally Differentially Private Personal Data Markets Using Contextual Dynamic Pricing Mechanism

Published:2023-11 Issue:6 Volume:20 Page:5043-5055
ISSN:1545-5971
Container-title:IEEE Transactions on Dependable and Secure Computing
language:
Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Xiao Mingyan¹^ORCID,Li Ming²^ORCID,Zhang Jennifer Jie³^ORCID

Affiliation:

1. Department of Computer Science, California State Polytechnic University, Pomona, CA, USA

2. Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, USA

3. College of Business, The University of Texas at Arlington, Arlington, TX, USA

Funder

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

https://ieeexplore.ieee.org/ielam/8858/10314839/10025585-aam.pdf

Reference67 articles.

1. Unlocking the Value of Privacy

2. Revenue maximization for query pricing

3. Making Big Money from Small Sensors: Trading Time-Series Data under Pufferfish Privacy

4. Online pricing with reserve price constraint for personal data markets;niu;IEEE Trans Knowl Data Eng,2022

5. A Survey on Data Pricing: from Economics to Data Science

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Get by how much you pay: A novel data pricing scheme for data trading;Information Processing & Management;2024-11

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