Publication Type

Journal Article

Version

acceptedVersion

Publication Date

3-2021

Abstract

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.

Keywords

Games, Stakeholders, Biological system modeling, Cloud computing, Cryptography, Game theory, Cloud computing, deduplication, gradient-based algorithm, multi-stage stackelberg game

Discipline

Information Security

Research Areas

Cybersecurity

Publication

IEEE Transactions on Parallel and Distributed Systems

Volume

32

Issue

3

First Page

587

Last Page

600

ISSN

1045-9219

Identifier

10.1109/TPDS.2020.3028685

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/TPDS.2020.3028685

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