Identification of protective actions to reduce the vulnerability of safety-critical systems to malevolent acts: a sensitivity-based decision-making approach

Tairan Wang 1 Nicola Pedroni 1 Enrico Zio 2, 1
1 SSEC - Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec
2 POLIMI - Politecnico di Milano [Milan]
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. 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.
Keywords : safety-critical system malevolent intentional attacks vulnerability analysis protective actions Majority Rule Sorting (MR-Sort) classification model inverse classification problem sensitivity indicator
Document type :
Journal articles
Complete list of metadatas

Cited literature [21 references]  Display  Hide  Download
https://hal.archives-ouvertes.fr/hal-01270677
Contributor : Nicola Pedroni <>
Submitted on : Monday, February 8, 2016 - 12:53:40 PM
Last modification on : Tuesday, August 13, 2019 - 11:10:03 AM
Long-term archiving on : Saturday, November 12, 2016 - 1:09:12 PM

File

action sensitivity review 2015...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01270677, version 1

Collections

LGI-SR | LGI | CENTRALESUPELEC | TDS-MACS | UNIV-PARIS-SACLAY | EDF

Citation

Tairan Wang, Nicola Pedroni, Enrico Zio. Identification of protective actions to reduce the vulnerability of safety-critical systems to malevolent acts: a sensitivity-based decision-making approach. Reliability Engineering and System Safety, Elsevier, 2016, 147, pp.9-18. ⟨hal-01270677⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

250

Files downloads

228

Contact

CCSD