@article{ref1,
title="Identification of protective actions to reduce the vulnerability of safety-critical systems to malevolent acts: a sensitivity-based decision-making approach",
journal="Reliability engineering and system safety",
year="2016",
author="Wang, Tai-Ran and Pedroni, Nicola and Zio, Enrico",
volume="147",
number="",
pages="9-18",
abstract="A classification model based on the Majority Rule Sorting method has been previously proposed by the authors to evaluate the vulnerability of safety-critical systems (e.g., nuclear power plants) with respect to malevolent intentional acts.   In this paper, we consider a classification model previously proposed by the authors based on the Majority Rule Sorting method to evaluate the vulnerability of safety-critical systems (e.g., nuclear power plants) with respect to malevolent intentional acts. The model is here used as the basis for solving an inverse classification problem aimed at determining a set of protective actions to reduce the level of vulnerability of the safety-critical system under consideration.   To guide the choice of the set of protective actions, sensitivity indicators are originally introduced as measures of the variation in the vulnerability class that a safety-critical system is expected to undergo after the application of a given set of protective actions. These indicators form the basis of an algorithm to rank different combinations of actions according to their effectiveness in reducing the safety-critical systems vulnerability. <br><br>RESULTS obtained using these indicators are presented with regard to the application of: (i) one identified action at a time, (ii) all identified actions at the same time or (iii) a random combination of identified actions. The results are presented with reference to a fictitious example considering nuclear power plants as the safety-critical systems object of the analysis.<p />",
language="en",
issn="0951-8320",
doi="10.1016/j.ress.2015.09.005",
url="http://dx.doi.org/10.1016/j.ress.2015.09.005"
}