User-Friendly Privacy-Preserving Blockchain-based Data Trading

被引：0

作者：

Cao, Jiahui ^{[1
]}

Ye, Junyao ^{[1
]}

Lai, Junzuo ^{[2
]}

机构：

[1] Jingdezhen Ceram Univ, Sch Informat Engn, Jingdezhen 333403, Jiangxi, Peoples R China

[2] Jinan Univ, Coll Informat Sci Technol, Jinan, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2024年 / 15卷 / 05期

关键词：

Data trading; blockchain; personalized local differential privacy; data security; user-friendly;

D O I：

10.14569/IJACSA.2024.01505138

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

As the digital economy flourishes, the use of blockchain technology for data trading has seen a surge in popularity. Yet, previous approaches have frequently faltered in harmonizing security with user experience, culminating in suboptimal transactional efficiency. This study introduces a personalized local differential privacy framework, adeptly tackling data security concerns while accommodating the individual privacy preferences of data owners. Furthermore, the framework bolsters transaction flexibility and efficiency by catering to needs of data consumers for detailed queries and enabling data owners to effortlessly elevate their privacy budget to achieve greater financial returns. The efficacy of our approach is validated through a comprehensive series of experimental validations.

引用

页码：1374 / 1385

页数：12

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