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Privacy-Preserved Decentralized Systems for Trustworthy Data Sharing

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posted on 2024-07-12, 21:06 authored by Minfeng Qi
Exploring the intersection of data sharing and privacy, this research pioneers a blockchain-based system to facilitate data exchange. The proposed framework provides individuals with a mechanism to share or monetize their data without compromising privacy, serving both public and individual benefit. Additionally, by integrating incentive mechanisms, our approach motivates the sharing of high-quality data while enhancing individual control over the data, thereby promoting cross-sector collaboration and facilitating data-driven decision-making in crucial sectors like healthcare and finance. We identified gaps in existing privacy-preserved technologies and developed solutions, aiming to build a foundation for future trustworthy data sharing innovations.

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  • Thesis (PhD)

Thesis note

Thesis submitted for the Degree of Doctor of Philosophy, Swinburne University of Technology, 2023.

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Copyright © 2023 Minfeng Qi.

Supervisors

Yang Xiang

Language

eng

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