El componente social de la amenaza híbrida y su detección con modelos bayesianos

  1. Ruiz-Ruano, Ana-María 1
  2. López-Puga, Jorge 1
  3. Delgado-Morán, Juan-Jose 1
  1. 1 Universidad Católica San Antonio
    info

    Universidad Católica San Antonio

    Murcia, España

    ROR https://ror.org/05b1rsv17

Aldizkaria:
URVIO: Revista Latinoamericana de Estudios de Seguridad

ISSN: 1390-4299

Argitalpen urtea: 2019

Zenbakia: 25

Orrialdeak: 57-69

Mota: Artikulua

DOI: 10.17141/URVIO.25.2019.3997 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Beste argitalpen batzuk: URVIO: Revista Latinoamericana de Estudios de Seguridad

Laburpena

  Contemporary societies are increasingly conditioned by the development of computer technology. This trend suggests a picture in which each human being is identified by the person-computer binomial while greater computerization of civil life is generating huge amounts of data that are likely to be managed for war purposes. The objective of this article is to address the potential utility of Bayesian networks aimed at monitoring and early detection of hybrid attacks of a global nature. We conclude that the use of inference and Bayesian networks is useful for monitoring, detection and supervision of the social component of hybrid threats globally through social network analysis.

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