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Cited by 18Cloud Data Security SolutionsAdvanced Data Storage TechnologiesCloud Computing and Resource Management

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

Open access
Liang, Xueqin, Yan, Zheng, Deng, Robert H., Zheng, Qinghua·2021·IEEE Transactions on Parallel and Distributed Systems
DOI 10.1109/tpds.2020.3028685
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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.

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  • There are many schemes involving privacy-preserving solutions based on game theory that trade off data privacy and utility issues.

    “There are many schemes involving privacy-preserving solutions based on game theory that trade off data privacy and utility issues [123, 124].”

    From Machine Unlearning: A Survey (2024) · cites this paper as [124]

    The indexed Abstract describes encrypted cloud-data deduplication with differing access-control preferences and a Stackelberg game that models stakeholders’ economic utilities. It does not say the scheme trades off data privacy against utility, or establish that there are many such schemes. (LLM, conf=0.78)

    Experimental — accuracy not yet measured

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References 43 · Cited by 18

Research works printed but not linked: 41

  1. 10.1145/2078861.2078864 · DOI
  2. Bolosky, Single instance storage in windows 2000, 13
  3. 10.1109/MASCOT.2009.5366623 · DOI
  4. 10.1109/CNS.2018.8433173 · DOI
  5. 10.1109/JPROC.2016.2571298 · DOI
  6. 10.1145/3017428 · DOI
  7. 10.1145/2810103.2813623 · DOI
  8. 10.1007/978-3-662-46447-2_23 · DOI
  9. 10.1109/TPDS.2014.2318320 · DOI
  10. 10.1109/TBDATA.2017.2701352 · DOI
  11. 10.1109/TBDATA.2016.2587659 · DOI
  12. 10.1109/MSP.2010.187 · DOI
  13. 10.1002/sec.1159 · DOI
  14. Li, CDstore: Toward reliable, secure, and cost-efficient cloud storage via convergent dispersal, 111
  15. 10.1109/MCC.2016.29 · DOI
  16. 10.1145/2810103.2813630 · DOI
  17. 10.1016/j.future.2017.01.024 · DOI
  18. 10.1007/978-981-10-0281-6_57 · DOI
  19. 10.1016/j.ijinfomgt.2014.12.006 · DOI
  20. 10.1109/TII.2019.2920402 · DOI
  21. 10.2307/j.ctvjsf522 · DOI
  22. 10.1016/j.future.2017.10.051 · DOI
  23. 10.1109/TAC.2015.2423891 · DOI
  24. 10.1201/9780429507670-4 · DOI
  25. 10.1109/ICCChina.2013.6671119 · DOI
  26. 10.1016/j.cose.2020.101730 · DOI
  27. 10.1109/HICSS.2010.35 · DOI
  28. 10.1145/2480741.2480742 · DOI
  29. 10.1109/SURV.2013.050113.00191 · DOI
  30. 10.1109/SURV.2012.062612.00056 · DOI
  31. 10.1145/3057268 · DOI
  32. 10.1109/MNET.2013.6616115 · DOI
  33. 10.1109/MNET.2014.6863135 · DOI
  34. 10.1109/CCGrid.2011.30 · DOI
  35. 10.1016/j.future.2013.01.012 · DOI
  36. 10.1109/TSG.2015.2413813 · DOI
  37. 10.1109/TSC.2016.2528246 · DOI
  38. 10.1109/GLOCOM.2017.8254738 · DOI
  39. 10.1016/j.ijpe.2015.05.021 · DOI
  40. 10.1145/2046707.2046765 · DOI
  41. 10.1109/TCC.2016.2632110 · DOI

Metadata

Authors
Liang, X., Yan, Z., Deng, R. H., & Zheng, Q.
Affiliations
  • Xidian University (CN)
  • Singapore Management University (SG)
  • Xi'an Jiaotong University (CN)
ORCID
Venue
IEEE Transactions on Parallel and Distributed Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2021-03-01
Volume
32
Issue
3
Pages
587-600
ISSN
  • 1045-9219 (ISSN-L)
  • 1558-2183
  • 2161-9883
DOI
10.1109/tpds.2020.3028685
OpenAlex
W3092345110
Cited by
18
References
43
Citations by year
2026: 1 · 2025: 2 · 2024: 3 · 2023: 6 · 2022: 4 · 2021: 2
FWCI
2.82
Type
journal article
Language
en
Open access
Licence
Locations
  • IEEE Transactions on Parallel and Distributed Systems (publishedVersion)
  • Singapore Management University Institutional Knowledge (InK) (Singapore Management University) (submittedVersion)
  • Aaltodoc (Aalto University) (submittedVersion, other-oa)
Funders
  • National Natural Science Foundation of China (61672410, 62072351, 61802293)
  • Academy of Finland (308087, 314203, 335262)
  • Shaanxi Innovation Team Project (2018TD-007)
  • Higher Education Discipline Innovation Project (B16037)
Topics
  • Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
  • Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Data Storage Technologies
  • Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
Keywords
cloud storage, technology adoption, Stackelberg game, multistage games, Nash equilibrium, data owners, data holders, economic models, gradient-based algorithms

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