Blockchain-Based Incentives for Secure and Collaborative Data Sharing in Multiple Clouds

被引:87
|
作者
Shen, Meng [1 ]
Duan, Junxian [1 ]
Zhu, Liehuang [1 ]
Zhang, Jie [1 ]
Du, Xiaojiang [2 ]
Guizani, Mohsen [3 ]
机构
[1] Beijing Inst Technol, Sch Comp Sci, Beijing 100081, Peoples R China
[2] Temple Univ, Dept Comp & Informat Sci, Philadelphia, PA 19122 USA
[3] Qatar Univ, Dept Comp Sci & Engn, Doha 999043, Qatar
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
Cloud computing; Collaboration; Reliability; Medical diagnostic imaging; Data security; Distributed databases; secure data sharing; blockchain; Shapley value; incentives; BIG DATA; PRIVACY;
D O I
10.1109/JSAC.2020.2986619
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The prosperity of cloud computing has driven an increasing number of enterprises and organizations to store their data on private or public cloud platforms. Due to the limitation of individual data owners in terms of data volume and diversity, data sharing over different cloud platforms would enable third parties to take advantage of big data analysis techniques to provide value-added services, such as providing healthcare services for customers by gathering medical data from multiple hospitals. However, it remains a challenging task to design effective incentives that encourage secure and collaborative data sharing in multiple clouds. In this paper, we propose a reliable collaboration model consisting of three types of participants, which include data owners, miners, and third parties, where the data is shared via blockchain and recorded by a smart contract. In general, these participants may acquire and store the sharing of data using their private or public clouds. We analyze the topological relationships between the participants and develop some Shapley value models from simple to complicate in the process of revenue distribution. We also discuss the incentive effect of sharing security data and rationality of the designed solution through analysis towards distribution rules.
引用
收藏
页码:1229 / 1241
页数:13
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