Game Theoretical Analysis on Encrypted Cloud Data Deduplication

Xueqin Liang, Zheng Yan, Xiaofeng Chen, Laurence T. Yang, Wenjing Lou, Thomas Hou

Research output: Contribution to journalArticleScientificpeer-review

12 Citations (Scopus)
289 Downloads (Pure)


Duplicated data storage wastes memory resources and brings extra data-management load and cost to cloud service providers (CSPs). Various feasible schemes to deduplicate encrypted cloud data have been reported. However, their successful deployment in practice depends on whether all system players or stakeholders are willing to accept and execute them in a cooperative way, which was scarcely investigated in the previous literature. In this paper, we employ a non-cooperative game to model the interactions in a client-side server-controlled deduplication scheme (S-DEDU) [1] and construct an incentive mechanism based on payment discount to motivate its final ac- ceptance. The experimental results based on a real-world dataset demonstrate the individual rationality, incentive compatibility, profitability and robustness of our incentive mechanism.
Original languageEnglish
Pages (from-to)5778-5789
Number of pages12
JournalIEEE Transactions on Industrial Informatics
Issue number10
Publication statusPublished - Oct 2019
MoE publication typeA1 Journal article-refereed


  • cloud computing
  • encrypted data deduplication
  • game theory
  • incentive compatibility
  • incentive mechanism


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  • TruSoNet - Yan

    Yan, Z.


    Project: Academy of Finland: Other research funding

  • TruSoNet

    Yan, Z., Liu, S. & Zhang, L.


    Project: Academy of Finland: Other research funding

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