Evaluating Performance of Asymmetric Homomorphic Encryption Algorithms for Privacy Preservation in Location Based Services
Ajaysinh D. Rathod1, Saurabh A. Shah2, Vivaksha J. Jariwala3
1Ajaysinh Rathod*, Department of Comp. Engg., RDIC, C U Shah University, Wadhwan City.
2Saurabh Shah, Department of Comp. Engg., RDIC, C U Shah University, Wadhwan City.
3Vivaksha Jariwala, Department of Info. Tech., Sarvajanik College of Engg. and Technology, Surat.
Manuscript received on 5 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP: 2191-2194 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4586098319/19©BEIESP | DOI: 10.35940/ijrte.C4586.098319
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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: The recent advancement in mobile technology & wireless communication has change the way of people’s communication & execution of tasks. In location based services (LBS), there are large number of LBS users who are available to get their location based information. In LBS, Users work together mutually to compute the centroid by per-forming large number of data aggregation operation that aggregate user’s location before sending it to the LBS provider. Users have to submit their personalized information to the LBS provider. Location privacy is the one of the most critical issue. Homomorphic encryption technique ensures the secure data aggregation by encrypting the user’s location using Homomorphic encryption algorithm. For privacy requirement, semantic security is a standard for any encryption schema. Many Homomorphic encryption algorithm are available, so it’s require to investigate the performance of those that are semantically secure. In this paper, we will discuss homomorphic encryption algorithm and also attempt to evaluate the performance of various additive asymmetric Homomorphic encryption algorithms. Our work is inspired to recognize an asymmetric homomorphic encryption algorithms for LBS that offers strongest location privacy.
Keywords: Location-Based Services, Privacy Preservation, Collaborative TTP Free, Privacy Homomorphism.
Scope of the Article: High Performance Computing