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Game Theoretical Analysis on Encrypted Cloud Data Deduplication

delete2019-10-01
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PRE
AI
X
Xueqin Liang
Z
Zheng Yan *
陈晓峰 cover
陈晓峰 (Xiaofeng Chen)
L
Laurence T. Yang
Wenjing Lou cover
Wenjing Lou (Wenjing Lou)
Y
Y. Thomas Hou
DOI:10.1109/TII.2019.2920402delete
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Abstract

Abstract

En 中文
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 noncooperative game to model the interactions in a client-side server-controlled deduplication scheme (S-DEDU) and construct an incentive mechanism based on payment discount to motivate its final acceptance. The experimental results based on a real-world dataset demonstrate the individual rationality, incentive compatibility, profitability, and robustness of our incentive mechanism.
Keywords:
Cloud computing
Cryptography
Game theory
Economics
Stakeholders
Memory
Games
Cloud computing
encrypted data deduplication
game theory
incentive compatibility
incentive mechanism
AI Summary

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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Industrial Informatics cover
IEEE Transactions on Industrial Informatics
IF:
9.9
Papers:
8.6K
Citations:
6.0W

Organization

S
saint francis xavier university - canada
Scholars:
761
Papers: 911
Citations: 0
X
Xidian University
Scholars:
2.4W
Papers: 1.9W
Citations: 9.7K
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