The Social Component of the Hybrid Threat and its Detection with Bayesian Models
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Abstract
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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