Enhancing Privacy Preserving Query Retrieval Using Locality Sensitive Hashing

Authors(2) :-Archana M.S, K.Deepa

The usage of smart phones is tremendously increasing day by day. Due to this, Location Based Services (LBS) attracted considerably and becomes more popular and vital in the area of mobile applications. On the other hand, the usage of LBS leads to potential threat to userís location privacy. In this paper, the famous LBS provide information about points of interest (POI) in spatial range query within a given distance. For that, a more efficient and an enhanced privacy-preserving query solution for location based, Efficient Privacy-Location Query (EPLQ) is proposed along with Locality Sensitive Hashing (LSH) reduces the dimensionality of high dimensional data. Experiments are conducted extensively and the results show the efficiency of the proposed algorithm EPLQ in privacy preserving over outsourced encrypted data in spatial range queries. The proposed method performs in spatial range queries and similarity queries of privacy preserving.

Authors and Affiliations

Archana M.S
Assistant Professor, Department of Computer Science, Nilgiri College of Arts and Science, Thaloor, The Nilgiris, Tamil Nadu, India
K.Deepa
Assistant Professor, Department of Computer Science, Providence College for Women, Coonoor, Ooty, Tamil Nadu, India

Location Based Services, points of interest, Efficient Privacy-Location Query, NICT

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Publication Details

Published in : Volume 5 | Issue 1 | January-February 2019
Date of Publication : 2019-01-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 70-73
Manuscript Number : CSEIT1838110
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Archana M.S, K.Deepa , "Enhancing Privacy Preserving Query Retrieval Using Locality Sensitive Hashing", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 1, pp.70-73, January-February-2019. Available at doi : https://doi.org/10.32628/CSEIT1838110
Journal URL : http://ijsrcseit.com/CSEIT1838110

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