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Efficient energy planning is a key feature for the future smart cities. The real-time optimization of the energy distribution and storage is the real added value for smart grid and cities. However, the available energy providers' infrastructures are not able to estimate and predict real-time fluctuation of the energy demand and are not scalable enough to integrate, with low cost and effort, hardware...
We exploit Decision Networks (DN) for the analysis of attack/defense scenarios. DN extend both the modeling and the analysis capabilities of formalisms based on Attack Trees, which are the main reference model in such a context. In particular, DN can naturally address uncertainty at every level, including the interaction level of attacks and countermeasures, making possible the modeling of situations...
We propose a framework for the selection of failure countermeasures and repair actions, based on Decision Networks (DN). We show, through specific examples, that standard probabilistic inference on DN can be used to compute system reliability, component importance measures, as well as to select the best (in terms of Maximum Expected Utility) set of failure countermeasures to activate. Finally, by...
In this paper we propose an improved BDD approach to the network reliability analysis, that allows the user to compute an exact solution or an approximation based on reliability bounds when network complexity makes the former solution practically impossible.
The role of network reliability in the analysis of Critical Infrastructures (CI) is investigated showing that the traditional approach must be extended in two directions: to include the packet propagation time along the links for real time analysis, and to include networks in which many sources may be variously connected to many sinks. A case study of a SCADA system controlling a power grid, originated...
Traditional reliability studies on probabilistic networks are devoted to evaluate the probability that two nodes or K nodes are connected, assuming that nodes are undifferentiated. In flow networks, however, we need to distinguish between source nodes where the flow is generated and sink nodes where the flow is utilized. Sink nodes may usually be fed by many sources. To this end, we have extended...
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