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Ensuring the Blind Signature for the Electoral System in a Distributed Environment

  • Segundo Moisés Toapanta Toapanta
  • , Darío Fernando Huilcapi Subia
  • , Milton Andrés Cepeda Aveiga
  • , Luis Enrique Mafla Gallegos

    Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

    Resumen

    We analyze several alternatives of blind digital signatures, for an electronic electoral system in a distributed architecture environment, in view of the persistence of blind signature problems in electoral processes. The objective is to recognize and propose an alternative of a blind signature scheme to improve privacy, confidentiality for the voter and in this way reduce any type of vulnerability with respect to the information of the same. The deductive method is used to summarize the information of the scientific articles studied. It results in a blind signature prototype based on algorithms to mitigate the vulnerabilities of voter information. It is concluded that, in order to guarantee privacy and confidentiality, several blind signature schemes must be implemented together to obtain the benefits of each of them, thus reducing the risks to which the voter's information is exposed in this process.

    Idioma originalInglés
    Título de la publicación alojadaProceedings of 2020 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2020
    EditorialInstitute of Electrical and Electronics Engineers Inc.
    Páginas211-215
    Número de páginas5
    ISBN (versión digital)9781728198736
    ISBN (versión impresa)9781728198736
    DOI
    EstadoPublicada - jul. 2020
    Evento2020 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2020 - Shenyang, China
    Duración: 28 jul. 202030 jul. 2020

    Serie de la publicación

    NombreProceedings of 2020 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2020

    Conferencia

    Conferencia2020 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2020
    País/TerritorioChina
    CiudadShenyang
    Período28/07/2030/07/20

    Nota bibliográfica

    Publisher Copyright:
    © 2020 IEEE.

    Copyright:
    Copyright 2020 Elsevier B.V., All rights reserved.

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