• M.Vani

With the inescapability of PDAs, location-based administrations (LBS) have gotten extensive consideration and turn out to be progressively prevalent and indispensable as of late. Be that as it may, the utilization of LBS like-wise represents a potential danger to client's area security. In this paper, going for spatial range inquiry, a mainstream LBS giving data about POIs (Points Of Interest) inside a given separation, we present a productive and protection safeguarding area based inquiry arrangement, called EPLQ. Area based administration (LBS) is blasting up lately with the quick development of cell phones furthermore, the rising of distributed computing worldview. Alongside the difficulties to build up LBS and the client protection issue turns into the most vital concern. So fruitful protection saving LBS must be secure and give precise inquiry results. In particular, to accomplish privacy-preserving spatial range inquiry, we propose the first predicate only encryption plot for internal item extend, which can be used to recognize whether a position is inside a given round zone in a security safeguarding way. To lessen question inactivity, we further plan a security safeguarding tree file structure in EPLQ. Point by point security examination affirms the security properties of EPLQ. Likewise, broad tests are led, and the outcomes exhibit that EPLQ is exceptionally productive in privacy-preserving spatial range inquiry over re-appropriated encoded information. Specifically, for a portable LBS client utilizing an Android telephone, around 0.9 second is expected to create an inquiry; and it likewise as it were requires a product workstation, which assumes the job of the cloud in our tests, a couple of moments to look POIs

EPLQ: Efficient Privacy-Preserving Location-based Query over Outsourced Encrypted Data

"EPLQ: Efficient Privacy-Preserving Location-based Query over Outsourced Encrypted Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.724-730, February-2019, Available :http://www.jetir.org/papers/JETIRAB06138.pdf

"EPLQ: Efficient Privacy-Preserving Location-based Query over Outsourced Encrypted Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp724-730, February-2019, Available at : http://www.jetir.org/papers/JETIRAB06138.pdf