Author(s)

Gilles Durrieu¹, Emmanuel Frenod¹, Thierry Morineau², Thong Quoc Nguyen¹

¹Université de Bretagne Sud, Laboratoire de Mathématiques de Bretagne Atlantique, UMR CNRS 6205, Campus de Tohannic, Vannes, France.
²Université de Bretagne Sud, Centre de Recherches en Psychologie, Cognition, Communication-CRPCC EA 1285, Campus de Tohannic, Vannes, France.

Aspects of human behavior in cyber security allow more natural security to the user. This research focuses the appearance of anticipating cyber threats and their abstraction hierarchy levels on the mental picture levels of human. The study concerns the modeling of the behaviors of mental states of an individual under cyber attacks. The mental state of agents being not observable, we propose a non-stationary hidden Markov chain approach to model the agent mental behaviors. A renewal process based on a nonparametric estimation is also considered to investigate the spending time in a given mental state. In these approaches, the effects of the complexity of the cyber attacks are taken into account in the models.

Cyber Attacks, Abstraction Hierarchy, Hidden Markov Chain, Nonparametric Estimation, Renewal Process

Durrieu, G. , Frenod, E. , Morineau, T. and Nguyen, T. (2017) Modeling Abstraction Hierarchy Levels of the Cyber Attacks Using Random Process. Open Journal of Statistics, 7, 500-520. doi: 10.4236/ojs.2017.73035.