UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1906011


Registration ID:
212262

Page Number

61-66

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Title

Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud

Abstract

Secure information deduplication will considerably scale back the communication and storage overheads in cloud storage services, and has potential applications in our massive data-driven society. Existing information deduplication schemes area unit usually designed to either resist brute-force attacks or make sure the potency and information accessibility, however not each conditions. we tend to also are not conscious of any existing theme that achieves responsibility, within the sense of reducing duplicate data revealing (e.g., to work out whether or not plaintexts of 2 encrypted messages area unit identical). during this paper, we tend to investigate a three-tier cross-domain design, associated propose an economical and privacy-preserving massive information deduplication in cloud storage (hereafter mentioned as EPCDD). EPCDD achieves each privacy-preserving and information accessibility, and resists brute-force attacks. additionally, we tend to take responsibility into thought to supply higher privacy assurances than existing schemes. we tend to then demonstrate that EPCDD outperforms existing competitive schemes, in terms of computation, communication and storage overheads. additionally, the time quality of duplicate search in EPCDD is power.

Key Words

Brute-force attacks, data availability, and accountability, Secure data deduplication, big data

Cite This Article

"Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.61-66, June-2019, Available :http://www.jetir.org/papers/JETIR1906011.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp61-66, June-2019, Available at : http://www.jetir.org/papers/JETIR1906011.pdf

Publication Details

Published Paper ID: JETIR1906011
Registration ID: 212262
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 61-66
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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