UGC Approved Journal no 63975(19)

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

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1905883


Registration ID:
211604

Page Number

567-571

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Title

Top-k, m Query Parallel Processing via Untrusted Location-Based Service Providers

Abstract

This paper contains a disseminated framework for social occasion area based information and sharing that become extra well-loved on account of the enormous development of Internet-fit and area mindful cell phones. Giving top-k question administrations has importance for capacity servers which gather profitable records/information and strategy inquiries for information proprietors and versatile clients. The arranged framework has area based specialist organizations (LBSPs), information gatherer, information givers, and framework clients. The information gatherer stores evaluations and audits of focal points (POIs) from information benefactors, while LBSPs gets POI informational collections from the information authority and gives the authorization to clients to perform spatial top-k questions in an unmistakable zone and with the most astounding k appraisals for an intrigued POI. In pursue, LBSPs are untrusted and may give artificial query results for different hazardous intentions. This paper presents a new query processing and optimality for existing Top-k query processing.. The viability and strength of our arranged framework are completely dissected and assessed. From execution investigation tries, it's demonstrated that our arranged strategy is way extra prudent than the past works as far as correspondence overhead and calculation esteem.

Key Words

Top-k, m query, LBSPs, Privacy, Bitonic, security, integrity.

Cite This Article

"Top-k, m Query Parallel Processing via Untrusted Location-Based Service Providers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.567-571, May-2019, Available :http://www.jetir.org/papers/JETIR1905883.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

"Top-k, m Query Parallel Processing via Untrusted Location-Based Service Providers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp567-571, May-2019, Available at : http://www.jetir.org/papers/JETIR1905883.pdf

Publication Details

Published Paper ID: JETIR1905883
Registration ID: 211604
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 567-571
Country: -, -, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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