Investigating the adoption of hybrid encrypted cloud data deduplication with game theory

Investigating the adoption of hybrid encrypted cloud data deduplication with game theory

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-...

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Bibliographic Details
Main Authors: LIANG, Xueqin, YAN, Zheng, DENG, Robert H., ZHENG, Qinghu
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
Games
Stakeholders
Biological system modeling
Cloud computing
Cryptography
Game theory
deduplication
gradient-based algorithm
multi-stage stackelberg game
Information Security
Online Access:https://ink.library.smu.edu.sg/sis_research/5371
https://ink.library.smu.edu.sg/context/sis_research/article/6375/viewcontent/Investigating_Adoption_Hybrid_encrypted_cloud_data_av.pdf
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Institution: Singapore Management University
Language: English
Description
Summary: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.

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