UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 9
September-2018
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:
JETIR1809640


Registration ID:
189077

Page Number

888-893

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Title

A NEW SECURE QUERY PROCESSING FRAMEWORK FOR LOCATION BASED SERVICES FROM THE WEB CLOUD

Abstract

Location Based Services (LBS) enables the user to access the information that is relevant to their location and point of Interest. Many existing approaches fail in applying the secure query processing framework for the sensitive data with up to date information. Information is the entity with large geo-tagged data composed by data owner. But typical data owners do not have the technical means to support processing queries on a large scale, so they outsource data storage and querying to a cloud service provider. Many such cloud providers exist who offer powerful storage and computational infrastructures at low cost. However, cloud providers are not fully trusted, and typically behave in an honest but curious. In this framework, we propose a query processing technique utilizing the kNN (Nearest Neighbour) algorithm against the Point of interest as user request to the cloud Service provider (broker), where broker computes the data owner’s information to yield the high relevant data as retrieved information. To secure the data, we establish a Mutableness Order Preserving Encoding to protect user queries and point of interest data. The performance evaluation of the proposed hybrid methods which can be used to provide the optimized solutions which is used to combine many queries and process them and also yields good results in terms of decreased computational speed and less memory utilization against the state of approaches. It is important to note from the previous studies that the spatial queries which has the process of the nearest neighbour, range, skyline or keyword queries. It is also provided that there is no framework that can be processing all the queries in using the single entity so, it is notes that privacy based optimized query processing framework is lacking in the previous studies.

Key Words

Voronoi Diagrams, Delaunay tessellation, Spatial Database and LBS.

Cite This Article

"A NEW SECURE QUERY PROCESSING FRAMEWORK FOR LOCATION BASED SERVICES FROM THE WEB CLOUD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.888-893, September-2018, Available :http://www.jetir.org/papers/JETIR1809640.pdf

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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

"A NEW SECURE QUERY PROCESSING FRAMEWORK FOR LOCATION BASED SERVICES FROM THE WEB CLOUD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp888-893, September-2018, Available at : http://www.jetir.org/papers/JETIR1809640.pdf

Publication Details

Published Paper ID: JETIR1809640
Registration ID: 189077
Published In: Volume 5 | Issue 9 | Year September-2018
DOI (Digital Object Identifier):
Page No: 888-893
Country: Coimbatore, TAMIL NADU, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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