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Re-Unir
Article . 2020
Data sources: Re-Unir
https://dx.doi.org/10.60692/tj...
Other literature type . 2020
Data sources: Datacite
https://dx.doi.org/10.60692/c1...
Other literature type . 2020
Data sources: Datacite
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Efficient Method Based on Blockchain Ensuring Data Integrity Auditing with Deduplication in Cloud.

طريقة فعالة تستند إلى بلوكتشين لضمان تدقيق سلامة البيانات مع إلغاء التكرار في السحابة
Authors: Mohamed El Ghazouani; My Ahmed El Kiram; Latifa Er-Rajy; Yassine El Khanboubi;

Efficient Method Based on Blockchain Ensuring Data Integrity Auditing with Deduplication in Cloud.

Abstract

With the rapid development of cloud storage, more and more cloud clients can store and access their data anytime, from anywhere and using any device. Data deduplication may be considered an excellent choice to ensure data storage efficiency. Although cloud technology offers many advantages for storage service, it also introduces security challenges, especially with regards to data integrity, which is one of the most critical elements in any system. A data owner should thus enable data integrity auditing mechanisms. Much research has recently been undertaken to deal with these issues. In this paper, we propose a novel blockchain-based method, which can preserve cloud data integrity checking with data deduplication. In our method, a mediator performs data deduplication on the client side, which permits a reduction in the amount of outsourced data and a decrease in the computation time and the bandwidth used between the enterprise and the cloud service provider. This method supports private and public auditability. Our method also ensures the confidentiality of a client's data against auditors during the auditing process.

Keywords

blockchain, FOS: Computer and information sciences, Technology, Cloud storage, auditingb, Security Challenges in Cloud Computing, Data science, Database, Blockchain, Data deduplication, Artificial Intelligence, Computer security, Data integrity, Accounting, Cloud computing, Business, Secure Computation, deduplication, T, cloud computing, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Blockchain and Internet of Things Integration, Deduplication, Decentralization, IJIMAI, Audit, Computer science, auditing, Operating system, Computer Science, Physical Sciences, integrity, Remote Data Checking, Information Systems

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Average
Green
gold