Payment-based incentive mechanism for secure cloud deduplication

Miao, Meixia; Jiang, Tao; You, Ilsun

doi:10.1016/j.ijinfomgt.2014.12.006

Cited by 12 publications

(27 citation statements)

References 26 publications

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“…Herein, we consider such a case that for a data d ∈ D, the number of its data holders in CSP k at time t is N d k (t) and the deduplication rate is r d k (t). The main idea in [23], which is the only one payment-based incentive mechanism in deduplication we found, is to let all holders of the same data to share the initial unit storage fee when S-DEDU is applied. That is,…”

Section: B Problem Of An Existing Methodsmentioning

confidence: 99%

“…It models how a player will change its actions with regard to the others' actions and then the others act based on this player's actions and so forth. An analysis without considering the strategies of all stakeholders, like the price mechanism in [23], is not practical. In this paper, we intend to employ game theory to model how data holders and CSPs react when introducing S-DEDU and analyze how to motivate all players to accept S-DEDU.…”

Section: A Game Theorymentioning

confidence: 99%

“…The deduplication scheme designed by Miao et al [23] is also a server-controlled scheme. The authors proved that their scheme can ensure data confidentiality and signature unforgeability.…”

Section: B Related Workmentioning

confidence: 99%

“…In this section, we first we investigate the feasibility conditions of incentive mechanism, followed by an analysis of the problem of [23] before proposing our incentive mechanism.…”

Section: Discount-based Incentive Mechanismmentioning

confidence: 99%

“…Youn and Chang [22] identified the dishonest actions of the first data holder and invoked an incentive system to suppress such actions. Miao et al [23] proposed an incentive mechanism based on payment, which provides enough incentive to data holders. Yet, their mechanism seems not so comprehensive and practical because it is costly for CSPs (refer to detailed analysis in Section IV-B).…”

Section: Introductionmentioning

confidence: 99%

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Game Theoretical Analysis on Encrypted Cloud Data Deduplication

Liang

Yan

Chen

et al. 2019

IEEE Trans. Ind. Inf.

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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 acceptance. The experimental results based on a real-world dataset demonstrate the individual rationality, incentive compatibility, profitability and robustness of our incentive mechanism.

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Section: B Problem Of An Existing Methodsmentioning

confidence: 99%

Section: A Game Theorymentioning

confidence: 99%

“…The deduplication scheme designed by Miao et al [23] is also a server-controlled scheme. The authors proved that their scheme can ensure data confidentiality and signature unforgeability.…”

Section: B Related Workmentioning

confidence: 99%

“…In this section, we first we investigate the feasibility conditions of incentive mechanism, followed by an analysis of the problem of [23] before proposing our incentive mechanism.…”

Section: Discount-based Incentive Mechanismmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Game Theoretical Analysis on Encrypted Cloud Data Deduplication

Liang

Yan

Chen

et al. 2019

IEEE Trans. Ind. Inf.

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Digital Payment Adoption in India: Insights from Twitter Analytics

Singh

Dwivedi

Kahlon

et al. 2019

Lecture Notes in Computer Science

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Ever since demonetization happened in India on November 8, 2016, there has been a steady improvement in the use of digital payments. The usage trend has become exponential in the last 15 months across the digital payment methods (DPMs) in India. Government of India is promoting this landmark change of Indian financial system through Digital India initiative. Both national and international corporates, established as well as startups are investing heavily in DPMs to promote their products and services among Indian consumers. The promotion of DPMs also includes the use of social media marketing. Social media (especially Twitter) is being extensively used by companies to make the consumer aware about their services and promote themselves. The consumers do get motivated to try and use their services but they also share their grudges on Twitter. This paper aims to analyze DPMs adoption in India using Twitter as a tool. This study collected 172996 tweets over a period of four months and analyzed using a mix of conventional as well novel social media analytics techniques. Our analysis highlights the critical factors that drive and inhibit the use of DPMs in India. Further, our state wise analysis clearly differentiates about DPM adoption rate from high to low in all states of India.

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