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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: DUPLICATION CHECKING WITH ENCRYPTED DATA STORAGE IN CLOUD
Authors Name: Dr. Venkatesh S , Malarkodi M
Unique Id: IJSDR2112041
Published In: Volume 6 Issue 12, December-2021
Abstract: Cloud computing has reached a maturity that leads it into a productive phase. This means that most of the main issues with cloud computing have been addressed to a degree that clouds have become interesting for full commercial exploitation. However, concerns over data security still prevent many users from migrating data to remote storage. Client-side data compression in particular ensures that multiple uploads of the same content only consume network bandwidth and storage space of a single upload. The intuition is that outsourced data may require different levels of protection, depending on how popular it is: content shared by many users. Then present a novel idea that differentiates data according to their popularity. Based on this idea, design a de-duplicate scheme that guarantees semantic storage for unpopular data and provides weaker security and better storage and bandwidth benefits for popular data. This way, data de-duplication can be effective for popular data storage system. Deduplication technique helps to reduce storage requirements by similarity checking process. This allows organizations save far more data on the same system and extends disk purchase intervals automatically. With the advantage of speed, organizations can store data to disk cost effectively. This way, data de-duplication can be effective for popular data, whilst semantically secure encryption protects unpopular content. We can use the backup recover system at the time of blocking and also analyze frequent login access system.
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Cite Article: "DUPLICATION CHECKING WITH ENCRYPTED DATA STORAGE IN CLOUD", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 12, page no.249 - 253, December-2021, Available :http://www.ijsdr.org/papers/IJSDR2112041.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2112041
Registration ID:193798
Published In: Volume 6 Issue 12, December-2021
DOI (Digital Object Identifier):
Page No: 249 - 253
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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