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

Translated title of the contribution: Research trends in the use of Big Data technologies in cybersecurity systems
  • Luis Fernando Garcés-Giraldo
  • , Martha Benjumea-Arias
  • , Olga Inés Vélez Bernal
  • , Alejandro Valencia-Arias
  • , Luis Tadeo Celi Saavedra
  • , Camila Bermeo-Giraldo
  • , Jefferson Quiroz-Fabra

Research output: Contribution to journalOriginal Articlepeer-review

1 Scopus citations

Abstract

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.

Translated title of the contributionResearch trends in the use of Big Data technologies in cybersecurity systems
Original languageSpanish
Pages (from-to)410-420
Number of pages11
JournalRISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
Volume2022
Issue numberE49
StateIndexed - Apr 2022
Externally publishedYes

Bibliographical note

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

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