Earthquake hazard impacts society by producing casualties and fatalities, damage in the physical infrastructure, and a reduction in the functionality of essential services and distributed systems, which are the main scope of this research, such as healthcare-, electric power-, and transportation-network systems. However, predicting in deterministic terms the time, magnitude and location of future earthquakes and their associated characteristics, such as duration and other rupture kinematic parameters, is not possible yet. Therefore, one possibility to deal with the unforeseen effects of seismic hazard is to use a probabilistic framework. This WP explains the proposed work in relation to the evaluation of seismic risk in DNS represented as physical and graphical network models subject to an earthquake hazard field. An essential step in assessing the risk of spatially distributed systems is the generation of a stochastic catalog of earthquake events. The catalog generation requires: (i) a recurrence model of Chilean earthquakes that characterizes the temporal and spatial location of earthquakes with different magnitudes; (ii) a set of Ground Motion Prediction Equation (GMPE) (e.g., Abrahamson et al. (2016)), which represents the probability distribution of a ground motion intensity at a specific site; and (iii) a spatial correlation model of these earthquake intensity measures (e.g., Jayaram and Baker (2009)).