Roberta Terruggia

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The availability of power supply to power grid customers depends upon the availability of services of supervision, control and data acquisition (SCADA) system, which constitutes the nervous system of a power grid. In turn, SCADA services depend on the availability of the interconnected networks supporting such services. We propose a service oriented(More)
The automation of Power Grids by means of Supervisory Control and Data Acquisition (SCADA) systems has led to an improvement of Power Grid operations and functionalities but also to pervasive cyber interde-pendencies between Power Grids and Telecommunication Networks. Many power grid services are increasingly depending upon the adequate functionality of(More)
Many complex physical, technological, social, biological and economical systems can be represented in the form of networks, where vertices are the entities of the system and the edges represent the relational links among the entities. Since complex networks display a high degree of tolerance to random failures, errors and attacks, network dependability has(More)
A network is a structure where any couple of nodes is normally connected by different independent paths, thus making the structure intrinsically reliable. For this reason, many natural, social and technological systems organize in the form of networks. A tool for network reliability analysis, where different approaches are tested and compared, is in(More)
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(More)
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. To this purpose, a new algorithm for encoding the connectivity graph on a Binary Decision Diagram(More)
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(More)
We propose to exploit Decision Networks (DN) for the analysis of attack/defense scenarios. We show that 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. Uncertainty can be addressed at every system level and a decisiontheoretic analysis of the risk and of the(More)
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