dor_id: 45802

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Journal of Applied Research and Technology", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Scopus, Directory of Open Access Journals (DOAJ); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Indice de Revistas Latinoamericanas en Ciencias (Periódica); La Red de Revistas Científicas de América Latina y el Caribe, España y Portugal (Redalyc); Consejo Nacional de Ciencia y Tecnología (CONACyT); Google Scholar Citation

561.#.#.u: https://www.icat.unam.mx/

650.#.4.x: Ingenierías

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://jart.icat.unam.mx/index.php/jart

351.#.#.b: Journal of Applied Research and Technology

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/104/103

100.1.#.a: Hayward, Ryan; Chiang, Chia Chu

524.#.#.a: Hayward, Ryan, et al. (2015). Parallelizing fully homomorphic encryption for a cloud environment. Journal of Applied Research and Technology; Vol. 13 Núm. 2. Recuperado de https://repositorio.unam.mx/contenidos/45802

245.1.0.a: Parallelizing fully homomorphic encryption for a cloud environment

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2015

264.#.1.c: 2015-04-01

653.#.#.a: Cloud computing; Fully homomorphic encryption; Parallel processing

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx

884.#.#.k: https://jart.icat.unam.mx/index.php/jart/article/view/104

001.#.#.#: 074.oai:ojs2.localhost:article/104

041.#.7.h: eng

520.3.#.a: Cloud computing is a boon for both business and private use, but data security concerns slow its adoption. Fully homomorphic encryption (FHE) offers the means by which the cloud computing can be performed on encrypted data, obviating the data security concerns. FHE is not without its cost, as FHE operations take orders of magnitude more processing time and memory than the same operations on unencrypted data. Cloud computing can be leveraged to reduce the time taken by bringing to bear parallel processing. This paper presents an implementation of a processing dispatcher which takes an iterative set of operations on FHE encrypted data and splits them between a number of processing engines. A private cloud was implemented to support the processing engines. The processing time was measured with 1, 2, 4, and 8 processing engines. The time taken to perform the calculations with the four levels of parallelization, as well as the amount of time used in data transfers are presented. In addition, the time the computation servers spent in each of addition, subtraction, multiplication, and division are laid out. An analysis of the time gained by parallel processing is presented. The experimental results shows that the proposed parallel processing of Gentry’s encryption improves the performance better than the computations on a single node. This research provides the following contributions. A private cloud was built to support parallel processing of homomorphic encryption in the cloud. A client-server model was created to evaluate cloud computing of the Gentry’s encryption algorithm. A distributed algorithm was developed to support parallel processing of the Gentry’s algorithm for evaluation on the cloud. An experiment was setup for the evaluation of the Gentry’s algorithm, and the results of the evaluation show that the distributed algorithm can be used to speed up the processing of the Gentry’s algorithm with cloud computing. All Rights Reserved © 2015 Universidad Nacional Autónoma de México, Centro de Ciencias Aplicadas y Desarrollo Tecnológico. This is an open access item distributed under the Creative Commons CC License BY-NC-ND 4.0.

773.1.#.t: Journal of Applied Research and Technology; Vol. 13 Núm. 2

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

310.#.#.a: Bimestral

264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM

doi: https://doi.org/10.1016/j.jart.2015.06.004

harvesting_date: 2023-11-08 13:10:00.0

856.#.0.q: application/pdf

last_modified: 2024-03-19 14:00:00

license_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es

license_type: by-nc-sa

_deleted_conflicts: 2-1e9ca3b35cf7ee14796e7e5ff20b3d39

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