UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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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

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Published Paper ID:
JETIR1907F64


Registration ID:
221746

Page Number

474-478

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Title

Literature Review on Enhance Performance of Private Information Retrieval in Outsourcing Database Services

Abstract

In this paper , We suggest a scheme for outsourcing (PIR) Private Information Retrieval to untreated servers while shielding the isolation of the record owner as well as that of the database client. This introduces several protection issues related to database. Many organizations use data in various forms such as those in image processing, Geographical Information Systems (GISs), medical records, financial transaction records, employee information and other applications. For most clients (e.g., organizations), databases play a grave role in their continuation and development. In outsourced databases, the parties those subcontract their data will be referred as data owners also clients hereafter. The service providers storing data will be referred to as servers. In outsourced database scenario, the clients rely on servers for storage, retrieval, and maintenance of their databases. Outsourcing alleviates their need to procure expensive hardware and software, or to pay to professionals to deploy, maintain, and upgrade the systems, which are now taken care of by the external server whose security level is normally not fully trusted. Hence, outsourced database model introduces abundant security examine challenges. To ensure data discretion, outsourced data is typically encrypted and then querying is conceded out with the support of trusted client front-ends or secure coprocessors. However, encrypting data is only a revenue of securing data. Several other security issues such as data privacy, efficient query processing over encrypted databases, key management, and data integrity remain in this model. Although ensuring security related issues is primary requirement, addressing performance guarantee is also required. In this model method encryption maintains the data secrecy and a convenience that help to construct PIR reply which maintains data isolation. Single-file PIR schemes are generally unusable because of its expensiveness from computational point of view. This model suggests use of (GPU) Graphics Processing Unit service to process database. This model will help to accomplish practical discharge of single-database PIR scheme which uses encryption algorithm to preserve data secrecy as secondary objective and it serves to generate database reply to maintain data privacy as primary goal. In this paper we shows some real time consequences that proves necessitate of concurrency in P.I.R. algorithms. It paper describes use of trellis based single-database PIR protocol with GPU as processing unit to achieve high speed-up & hence, the performance of system.

Key Words

Outsourced Database, secretive Information Retrieval, cloud computing, User Privacy, Data Privacy.

Cite This Article

"Literature Review on Enhance Performance of Private Information Retrieval in Outsourcing Database Services", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.474-478, June 2019, Available :http://www.jetir.org/papers/JETIR1907F64.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

"Literature Review on Enhance Performance of Private Information Retrieval in Outsourcing Database Services", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp474-478, June 2019, Available at : http://www.jetir.org/papers/JETIR1907F64.pdf

Publication Details

Published Paper ID: JETIR1907F64
Registration ID: 221746
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 474-478
Country: Ajmer, Rajasthan, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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