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An Approach of Security Model to Mitigate Risk of Cyberattacks on Public Institutions in Ecuador

  • Segundo Moisés T. Toapanta
  • , Peter S. Muñoz Campuzano
  • , Dario Fernando Huilcapi
  • , Luis Enrique Mafla Gallegos

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

    Resumen

    Security problems due to cyberattacks were analyzed, checked security models designed to protect and preserve databases of information from these institutions, using all the parameters of information security. It is planted propose a prototype of a security model to mitigate the risks of cyberattacks on public institutions to define the organizational structure and security levels in order to adopt security protocols. A security model was proposed, and a general network topology that helped meet the objective. The deductive method was used in the investigation to verify the current trends of security models and to protect the information available on the ministerial entity. The prototype of a security model was established to mitigate the risks of cyberattacks. It is concluded that a security strategy are necessary data through a correct, reliable and highly available route that offers a higher level of reliability. The content of this plan was presented and made available to all members of the public institution, especially those who are actively involved in safety procedures of information.

    Idioma originalInglés
    Título de la publicación alojadaProceedings of the 2020 4th International Conference on Information System and Data Mining, ICISDM 2020
    EditorialAssociation for Computing Machinery
    Páginas51-57
    Número de páginas7
    ISBN (versión digital)9781450377652
    ISBN (versión impresa)9781450377652
    DOI
    EstadoPublicada - 15 may. 2020
    Evento4th International Conference on Information System and Data Mining, ICISDM 2020 - Hilo, Estados Unidos
    Duración: 15 may. 202017 may. 2020

    Serie de la publicación

    NombreACM International Conference Proceeding Series

    Conferencia

    Conferencia4th International Conference on Information System and Data Mining, ICISDM 2020
    País/TerritorioEstados Unidos
    CiudadHilo
    Período15/05/2017/05/20

    Nota bibliográfica

    Publisher Copyright:
    © 2020 ACM.

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

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