Projects per year
Abstract
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 language | English |
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Pages (from-to) | 5778-5789 |
Number of pages | 12 |
Journal | IEEE Transactions on Industrial Informatics |
Volume | 15 |
Issue number | 10 |
DOIs | |
Publication status | Published - Oct 2019 |
MoE publication type | A1 Journal article-refereed |
Keywords
- cloud computing
- encrypted data deduplication
- game theory
- incentive compatibility
- incentive mechanism
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Dive into the research topics of 'Game Theoretical Analysis on Encrypted Cloud Data Deduplication'. Together they form a unique fingerprint.Projects
- 2 Finished
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Digitalizing Trust for Securing Pervasive Social Networking
Yan, Z. (Principal investigator)
01/09/2017 → 31/08/2022
Project: Academy of Finland: Other research funding
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TruSoNet: Digitalizing Trust for Securing Pervasive Social Networking
Yan, Z. (Principal investigator), Liu, S. (Project Member) & Zhang, L. (Project Member)
01/09/2017 → 31/08/2020
Project: Academy of Finland: Other research funding