Publicly Verifiable Proofs of Data Replication and Retrievability for Cloud Storage

Gritti, Clémentine

doi:10.1109/ics51289.2020.00091

Cited by 9 publications

(15 citation statements)

References 22 publications

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“…In [1], we proposed a new PORR protocol overcoming all the aforementioned challenges at once. Along with getting over malicious clients and rational providers, we overcame the likely laziness: the client can delegate the task of checking that the cloud provider has been acting honestly on her data.…”

Section: Problem Statementmentioning

confidence: 99%

“…To our knowledge in [1], the author presented the first PORR protocol that both delegates the construction of the replicas to the cloud provider and that permits anyone to verify that the latter correctly stores the files and their replicas.…”

Section: Ideamentioning

confidence: 99%

“…In [1], the first Proof of Retrievability and Reliability (PORR) with public verification was proposed. The original file of the client is first uploaded to a cloud provider.…”

Section: Contributions and Road Mapmentioning

confidence: 99%

“…However, due to its complex structure, many unfortunate events have happened over the last few years. In 2015, lightning strikes engendered data loss on Google centers 1 . The startup Front Edge CNC' used to keep its online production data in Tencent Cloud Storage but realised in 2018 that it was completely lost 2 .…”

Section: Introductionmentioning

confidence: 99%

“…The malicious client may claim to upload copies of the files, with lower fees, but rather uploading different files where fees would have higher if behaving honestly. This work is an extension of [1], in which a new solution was proposed for secure and efficient cloud storage for a client who owns some files stored on a cloud provider. Security is enhanced by allowing detection of a misbehaving cloud provider that does not store the client's files correctly and prevention against a malicious client who tries to save fees.…”

Section: Introductionmentioning

confidence: 99%

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Efficient Publicly Verifiable Proofs of Data Replication and Retrievability Applicable for Cloud Storage

Gritti¹,

Li²

2022

Adv. sci. technol. eng. syst. j.

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Using Proofs of Retrievability (PORs), a file owner is able to check that a cloud server correctly stores her files. Using Proofs of Retrievability and Reliability (PORRs), she can even verify at the same time that the cloud server correctly stores both her original files and their replicas. In 2020, a new PORR combined with Verifiable Delay Functions (VDFs) was presented by Gritti. VDFs are special functions whose evaluation is slow while verification is fast. Therefore, those functions help guarantee that the original files and their replicas are stored at rest. Moreover, an important feature of the 2020 PORR solution is that anyone can verify the cloud provider's behaviour, not only the file owner. This paper extends Gritti's version. In particular, a realistic cloud framework is defined in order to implement and evaluate accurately. Results show that this PORR solution is well suitable for services provided for cloud storage.

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Section: Problem Statementmentioning

confidence: 99%

Section: Ideamentioning

confidence: 99%

“…In [1], the first Proof of Retrievability and Reliability (PORR) with public verification was proposed. The original file of the client is first uploaded to a cloud provider.…”

Section: Contributions and Road Mapmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Efficient Publicly Verifiable Proofs of Data Replication and Retrievability Applicable for Cloud Storage

Gritti¹,

Li²

2022

Adv. sci. technol. eng. syst. j.

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Pay-Per-Proof: Decentralized Outsourced Multi-User PoR for Cloud Storage Payment Using Blockchain

Cui,

Wan,

Zhaolu

et al. 2024

IEEE Trans. Cloud Comput.

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Introducing the enterprise data marketplace: a platform for democratizing company data

Eichler,

Gröger,

Hoos

et al. 2023

J Big Data

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In this big data era, multitudes of data are generated and collected which contain the potential to gain new insights, e.g., for enhancing business models. To leverage this potential through, e.g., data science and analytics projects, the data must be made available. In this context, data marketplaces are used as platforms to facilitate the exchange and thus, the provisioning of data and data-related services. Data marketplaces are mainly studied for the exchange of data between organizations, i.e., as external data marketplaces. Yet, the data collected within a company also has the potential to provide valuable insights for this same company, for instance to optimize business processes. Studies indicate, however, that a significant amount of data within companies remains unused. In this sense, it is proposed to employ an Enterprise Data Marketplace, a platform to democratize data within a company among its employees. Specifics of the Enterprise Data Marketplace, how it can be implemented or how it makes data available throughout a variety of systems like data lakes has not been investigated in literature so far. Therefore, we present the characteristics and requirements of this kind of marketplace. We also distinguish it from other tools like data catalogs, provide a platform architecture and highlight how it integrates with the company’s system landscape. The presented concepts are demonstrated through an Enterprise Data Marketplace prototype and an experiment reveals that this marketplace significantly improves the data consumer workflows in terms of efficiency and complexity. This paper is based on several interdisciplinary works combining comprehensive research with practical experience from an industrial perspective. We therefore present the Enterprise Data Marketplace as a distinct marketplace type and provide the basis for establishing it within a company.

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Publicly Verifiable Proofs of Data Replication and Retrievability for Cloud Storage

Cited by 9 publications

References 22 publications

Efficient Publicly Verifiable Proofs of Data Replication and Retrievability Applicable for Cloud Storage

Efficient Publicly Verifiable Proofs of Data Replication and Retrievability Applicable for Cloud Storage

Pay-Per-Proof: Decentralized Outsourced Multi-User PoR for Cloud Storage Payment Using Blockchain

Introducing the enterprise data marketplace: a platform for democratizing company data

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