CPDT: A copyright-preserving data trading scheme based on smart contracts and perceptual hashing

被引:2
作者
Wang, Baowei [1 ,2 ]
Li, Bin [1 ]
Yuan, Yi [1 ]
Dai, Changyu [1 ]
Wu, Yufeng [1 ]
Zheng, Weiqian [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing, Peoples R China
[2] Minist Educ, Engn Res Ctr Digital Forens, Beijing, Peoples R China
来源
2022 IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS, TRUSTCOM | 2022年
关键词
Data trading; Blockchain; Smart contract; Copyright protection; Perceptual hashing; RING PARTITION;
D O I
10.1109/TrustCom56396.2022.00133
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Data has become an integral part of the modern world, and its value has led to the creation of new markets for data trading. Protecting the copyright of trading data and ensuring the fairness of transactions present significant challenges in the current trading market. Therefore, we propose a copyright preserving data trading scheme based on smart contracts and perceptual hashing, called CPDT, which use smart contracts, combined with perceptual hashing, to prevent malicious acts of illegal reselling and to ensure fair transactions. We have also designed a perceptual hashing algorithm for our trading scheme. Extensive experiments have been conducted to demonstrate the feasibility of the scheme.
引用
收藏
页码:968 / 975
页数:8
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