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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM19480

Cloud Data Duplication Identification using Hash Code

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM19480

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

ST

Sakshi Tadge

RK

Rutika Khainar

NJ

Neha Jadhav

SB

Shraddha Banne

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Abstract

Storage and security for all data is very important for cloud computing. Securing and privacy preserving of data is of high priority when it comes to cloud storage.De-duplication is a process that eliminates redundant copies of data and reduces storage overhead. Storage and data transfer costs will be reduced by their cloud providers by storing a unique copy of duplicate data. The most often important and popular cloud service is data storage. Intrusion detection and prevention are performed manually by network operators in the existing system. When the utilization of such private cloud storage increases, there will be an increase in the connection problem, performance storage demand, privacy security, data integrity. The key idea behind the develop a dynamicload balancing algorithm based on de-duplication to balance the load across the storage expansion of private cloud storage. For maintaining privacy, security data integrity we will use SHA algorithm. SHA algorithm also used to avoid duplication. The result also show the comparison of various hashing algorithms and show SHA is more secure and take less time than other hashing algorithms. The base scheme without de-duplication checking scheme take more storage space and time also increases.

KEYWORDS

Security Cryptography Hash De-duplication SHA Cloud computing cloud solution load balancing secure de-duplication.

Cite This Article

Sakshi Tadge, Rutika Khainar, Neha Jadhav, Shraddha Banne, "Cloud Data Duplication Identification using Hash Code," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM19480

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Publication Date

4/23/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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