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ISSN No: 2349-2287 (P) | E-ISSN: 2349-2279 (O) | E-mail: editor@ijiiet.com

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International Research Journal of Infinite Innovations in Engineering and Technology (IJIIET)

| ISSN Approved Journal | Impact factor: 7.521 | Follows UGC CARE Journal Norms and Guidelines |

| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | Impact factor 7.521 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing) in all Major Database & Metadata, Citation Generator

Title : EPLQ: Effective, confidential, location-based query on offsite encrypted data

Author : KALWAKURTHI SRI SANDHYA, K BALAJI SUNIL CHANDRA, TALARI SIVALAKSHMI

Abstract :

Due to the increasing number of people using smartphones, location-based services (LBS) have recently become more popular and significant. Nevertheless, a user's capacity to monitor their location might be compromised by using LBS. One popular location-based service (LBS) that gives information about POIs within a certain distance is spatial range query; in this study, we provide EPLQ, an efficient and privacypreserving LBS solution for this purpose. We provide the first privacy-preserving spatial range inquiry using a predicate-only encryption scheme for inner product range (IPRE). With IPRE, it is possible to determine, without compromising privacy, if a given position is within a certain circular zone. Additionally, we suggest a privacy-preserving tree index structure in EPLQ to decrease query time. The security aspects of EPLQ have been validated by a comprehensive security audit. Additionally, comprehensive testing is conducted, and the results show that EPLQ excel

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