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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
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Data de duplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. To protect the confidentiality of sensitive data while supporting de duplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing. To better protect data security, this project makes the first attempt to formally address the problem of authorized data de duplication. Different from traditional de duplication systems, the differential privileges of users are further considered induplicate check besides the data itself. We also present several new de duplication constructions supporting authorized duplicate check in hybrid cloud architecture. Security analysis demonstrates that our scheme is secure in terms of the definitions specified in the proposed security model. As a proof of concept, the proposed work implements a prototype of our proposed autho
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Cite Article:
"CLOUD DATA STORAGE OPTIMIZATION USING NOVEL DE-DUPLICATION TECHNIQUE ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.338 - 341, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305050.pdf
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Publication Details:
Published Paper ID: IJSDR2305050
Registration ID:205623
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 338 - 341
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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