Full text

Turn on search term navigation

© 2024. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Abstract: Access control to restricted areas is facing issues with its identity verification systems for Chief Executive Officers (CEOs) based on access cards, which are vulnerable to cloning, identity theft, and cyberattacks like Whaling. [...]the system successfully extracts key facial features and compares them with those stored in a database, while also notifying of failed attempts by unauthorized personnel. [...]the implementation of an intelligent facial recognition system has proven to be an effective solution for access control in restricted areas, verifying the identity of CEOs stored in a database. De no contar con tales requisitos, se estaría viendo casos como el ataque a la empresa Equifax, que resultó en la infiltración de información personal a través de un Hackeo permitiendo a ciberdelincuentes cometer fraudes de identidad (Dergarabedian, 2022).

Details

Title
Reconocimiento facial mediante aprendizaje por transferencia para el control de acceso a áreas restringidas
Author
Vega-Huerta, Hugo 1 ; Pullo, Marion Pillaca 2 ; Quiroz, Rodrigo Velásquez 2 ; Maquen-Niño, Gisella Luisa Elena 3 ; Camara-Figueroa, Adegundo 1 ; Pantoja-Collantes, Jorge; Gil-Calvo, Rubén

 Universidad Nacional Mayor de San Marcos, Facultad de Ingeniería de Sistemas, 15081, Lima, Perú 
 Universidad Autónoma del Perú, Facultad de Ingeniería y Arquitectura, 15842, Lima, Perú 
 Universidad Nacional Pedro Ruíz Gallo, Escuela Profesional de Ingeniería en Computación e Informática, 14013, Lambayeque, Perú 
Pages
261-273
Publication year
2024
Publication date
Mar 2024
Publisher
Associação Ibérica de Sistemas e Tecnologias de Informacao
ISSN
16469895
Source type
Scholarly Journal
Language of publication
Spanish
ProQuest document ID
3045626443
Copyright
© 2024. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.