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.

中文翻译：

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基于区块链的多云中安全协作数据共享的激励措施

云计算的繁荣促使越来越多的企业和组织将其数据存储在私有或公共云平台上。由于个人数据所有者在数据量和多样性方面的限制，不同云平台上的数据共享将使第三方能够利用大数据分析技术提供增值服务，例如通过收集数据为客户提供医疗保健服务。来自多家医院的医疗数据。然而，设计有效的激励措施以鼓励在多个云中安全和协作的数据共享仍然是一项具有挑战性的任务。在本文中，我们提出了一个由三类参与者组成的可靠协作模型，包括数据所有者、矿工和第三方，数据通过区块链共享并由智能合约记录。通常，这些参与者可以使用他们的私有或公共云来获取和存储数据共享。我们分析了参与者之间的拓扑关系，并在收入分配过程中从简单到复杂开发了一些 Shapley 值模型。我们还通过对分发规则的分析讨论了共享安全数据的激励效果和设计方案的合理性。