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Azas, R., Dufour, F., Gégout-Petit, A., et al. (2013) Nonparametric Estimation of the Jump Rate for Non-Homogeneous Marked Renewal Processes. In: Annales de l’Institut Henri Poincaré, Probabilités et Statistiques, 49, 1204-1231.
https://doi.org/10.1214/12-AIHP503

has been cited by the following article:

• TITLE: Modeling Abstraction Hierarchy Levels of the Cyber Attacks Using Random Process

  AUTHORS: Gilles Durrieu, Emmanuel Frenod, Thierry Morineau, Thong Quoc Nguyen

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

  JOURNAL NAME: Open Journal of Statistics, Vol.7 No.3, June 28, 2017

  ABSTRACT: 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.