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Investigating the Adoption of Hybrid Encrypted Cloud Data Deduplication With Game Theory

机译:调查使用博弈论的混合加密云数据重复数据删除

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Encrypted data deduplication, along with different preferences in data access control, brings the birth of hybrid encrypted cloud data deduplication (H-DEDU for short). However, whether H-DEDU can be successfully deployed in practice has not been seriously investigated. Obviously, the adoption of H-DEDU depends on whether it can bring economic benefits to all stakeholders. But existing economic models of cloud storage fail to support H-DEDU due to complicated interactions among stakeholders. In this article, we establish a formal economic model of H-DEDU by formulating the utilities of all involved stakeholders, i.e., data holders, data owners, and Cloud Storage Providers (CSPs). Then, we construct a multi-stage Stackelberg game, which consists of Holder Participation Game, Owner Online Game, and CSP Pricing Game, to capture the interactions among all system stakeholders. We further analyze the conditions of the existence of a sub-game perfect Nash Equilibrium and propose a gradient-based algorithm to help the stakeholders choose near-optimal strategies. Extensive experiments show the feasibility of the proposed algorithm in achieving the Nash Equilibrium of the Stackelberg game. Additionally, we investigate the effects of parameters related to CSP, data owners and data holders on H-DEDU adoption. Our study advises all stakeholders the best strategies to adopt H-DEDU.
机译:加密数据重复数据删除以及数据访问控制中不同的偏好,带来了混合加密云数据重复数据删除(简称H-Dedu)的诞生。但是,在实践中是否可以成功部署H-Defe,尚未认真调查。显然,H-Dedu的采用取决于它是否可以为所有利益攸关方带来经济利益。但由于利益相关者之间的复杂互动,现有的云存储经济模型未能支持H-Dedu。在本文中,我们通过制定所有参与利益相关者,即数据持有人,数据所有者和云存储提供商(CSP)的公用事业来建立H-Dedu的正式经济模式。然后,我们构建了一个多级Stackelberg游戏,该游戏包括持有人参与游戏,所有者在线游戏和CSP定价游戏,以捕捉所有系统利益相关者之间的互动。我们进一步分析了子游戏完美纳什均衡存在的条件,并提出了一种基于梯度的算法来帮助利益相关者选择近乎最佳策略。广泛的实验表明了所提出的算法在实现Stackelberg游戏的纳什均衡方面的可行性。此外,我们还调查与CSP,数据所有者和数据持有者相关的参数对H-Dedu采用的影响。我们的研究建议所有利益相关者采用H-Dedu的最佳策略。

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