Novel Modeling of Efficient Data Deduplication for Effective Redundancy Management in Cloud Environment

Kumar, G Anil; Shantala, C P

doi:10.1007/978-981-19-2500-9_36

Cited by 1 publication

(1 citation statement)

References 29 publications

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“…Designing a data auditing and safe deduplication scheme with data redundancy elimination is essential to addressing the aforementioned issues because it enables automatic data auditing without external auditors. Creating a safe deduplication and data auditing scheme without data redundancy elimination is not a simple issue 24 . Both intra file‐level data deduplication and inter file‐level data deduplication can be used to implement the technique in a cloud environment.…”

Section: Introductionmentioning

confidence: 99%

Blockchain‐based data deduplication using novel content‐defined chunking algorithm in cloud environment

Prakash J,

et al. 2023

Int J Network Mgmt

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The cloud environment is inherently dynamic as users are added immensely in a short duration. It is indeed difficult to manage such user profiles and associated data. Meanwhile, the cloud data expand at a twofold‐to‐threefold rate on average, making storage space management and data integrity maintenance a mandatory task but also risky. The main approaches for addressing these data maintenance challenges in a cloud context are deduplication and data protection. In order to manage storage space, finding and removing identical copies of the same data from the cloud are possible, resulting in a reduction in the amount of storage space needed. Furthermore, duplicate copies are considerably reduced in cloud storage owing to data deduplication. Here, a decentralized ledger public blockchain network is introduced to protect the Integrity of data stored in cloud storage. This research proposes data deduplication using speedy content‐defined Chunking (SpeedyCDC) algorithm in the public blockchain. Many people and businesses outsource sensitive data to remote cloud servers because it considerably eliminates the hassle of managing software and infrastructure. However, the ownership and control rights of users data are nonetheless divided because it is outsourced to cloud storage providers (CSPs) and kept on a distant cloud. As a result, users have a great deal of difficulty in verifying the Integrity of sensitive data. Analysis using datasets from Geospatial Information Systems (GIS) revealed that the throughput increased by 5%–6% over that of the fastCDC technique, which offered Integrity since a blockchain network secured it.

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Section: Introductionmentioning

confidence: 99%

Blockchain‐based data deduplication using novel content‐defined chunking algorithm in cloud environment

Prakash J,

et al. 2023

Int J Network Mgmt

View full text Add to dashboard Cite

show abstract

Novel Modeling of Efficient Data Deduplication for Effective Redundancy Management in Cloud Environment

Cited by 1 publication

References 29 publications

Blockchain‐based data deduplication using novel content‐defined chunking algorithm in cloud environment

Blockchain‐based data deduplication using novel content‐defined chunking algorithm in cloud environment

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