Abstract
In the contest of industrial process and automation, and in particular in the so-called Industry 4.0, the now intensive application of control systems in interconnected networks has led to an increase in unexpected threats to information security for supervisory control and data acquisition (SCADA) and control systems distributed (DCS). Risk assessment is essential and the its common methods such as HHM, IIM, and RFRM have been successfully applied to SCADA systems. Another equally important need is the use of metrics and methodologies to analyze the risk (PRA- probability risk analysis), which includes methods such as FTA, ETA and FEMA and HAZOP. The goal of these methods is, in general, to determine the impact of a problem on the process plant and the risk reduction associated with a particular countermeasure. In this paper we present a methodology named CRiSP (Cyber Risk Analysis in Industrial Process System Environment). CRiSP defines an approach to analyze the risk related to the manipulation of a single element of the plant and to analyze the consequence to entire plant and in the same time to a restricted portion.
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