EPLQ: Efficient Privacy-Preserving Location-based Query over Outsourced Encrypted Data
M. Vani1, Y. Rama Mohan2

1M. Vani, M.Tech Student, G. Pulla Reddy Engineering College, Kurnool (A.P), India.
2Dr. Y. Rama Mohan, Associate Professor, Department of CSE, G .Pulla Reddy Engineering College, Kurnool (A.P), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 04 April 2019 | Manuscript Published on 18 April 2019 | PP: 326-329 | Volume-7 Issue-6S March 2019 | Retrieval Number: F02640376S19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: With the unavoidability of PDAs, location-based services (LBS) have received great attention and turn out increasingly dominant and indispensable delayed. In any case, the use of LBS also poses a potential threat to the security of the customer area. In this paper, which refers to a request for spatial classification, the standard LBS system, which provides information on the individual POIs (Points of Interest), we offer a game plan based on the creation range and the protected area security called EPLQ. Location-based Service (LBS) has recently had an impact on the rapid improvement of mobile phones, as well as the bottom-up perspective of distributed processing. Closed due to LBS development issues, and customer insurance is becoming a significant issue. Therefore, productive LBS economies must be safe and deliver accurate results. To guarantee the protection of the request for spatial range request, we propose in particular the main encryption structure of the main internal extension base, which can be used to find out whether the position is in a specific circular zone in the form of security. To minimize inactivity, we organize the EPLQ Security Tree structure. Point security checks confirm EPLQ security features. The in-depth tests are carried out in the same way, and the results show that EPLQ is extremely productive for the protection of spatial activity, for which coded information on allocation is required. Especially for a small LBS client using an Android phone, the question arises for 0.9 seconds. That’s why a product workstation is necessary, and our cloud activity will take two to three minutes to understand POIs in our investigations.
Keywords: Location-based Service (LBS), Personal Digital Assistant (PDAs), Point of Interest (POI).
Scope of the Article: Software and System Security and Privacy