Tendencias investigativas en el uso de tecnologías de Big Data en sistemas de ciberseguridad

Luis Fernando Garcés-Giraldo, Martha Benjumea-Arias, Olga Inés Vélez Bernal, Alejandro Valencia-Arias, Luis Tadeo Celi Saavedra, Camila Bermeo-Giraldo, Jefferson Quiroz-Fabra

Producción científica: Artículo CientíficoArtículo originalrevisión exhaustiva

Resumen

The incessant technological advance product of the Internet and Internet of Things, has brought great computer advances, as well as different challenges in terms of cybersecurity, which is why the present study aimed to identify the main research trends around studies that address the use of Big Data technologies in cybersecurity systems and identify the keys for an investigative agenda. Therefore, a bibliometric analysis was carried out in the Scopus database, obtaining a total of 169 records between 2012 and 2022, which allowed us to identify that the main authors and journals have addressed keywords such as Artificial Intelligence, Big Data Analytics, Deep Learning and Machine Learning, among others, which has positioned them among the main subtopics derived from the central theme, becoming key factors for future research on a recent theme.

Título traducido de la contribuciónResearch trends in the use of Big Data technologies in cybersecurity systems
Idioma originalEspañol
Páginas (desde-hasta)410-420
-11
PublicaciónRISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
Volumen2022
N.ºE49
EstadoIndizado - abr. 2022
Publicado de forma externa

Nota bibliográfica

Publisher Copyright:
© 2022, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

Palabras clave

  • Artificial Intelligence
  • Bibliometrics
  • Blockchain
  • Deep Learning
  • MachinLearning

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