Risk analysis consists of five cornerstones that have to be viewed holistically by risk practitioners of any organization regardless of the industry type or nature of its critical infrastructures. The cornerstones are hazard identification, risk assessment and consequence analysis, determination of risk management actions required to reduce risks to acceptable levels, communication of risk insights among the stakeholders, and continuous monitoring and verification to ensure sustained attainment of tolerable risk levels. Our primary objectives in this research are two fold: first, we compare and contrast a wide spectrum of current industry-specific and application-dependent semi-quantitative risk models. Secondly, based on the insights to be gained from the first task, we propose a framework for a robust risk-based approach for conducting security vulnerability assessment (SVA). Risk practitioners of critical infrastructures, such as commercial nuclear power plants, water utilities, chemical plants, transmission and distribution substations ... etc., could readily use this proposed approach to classify, evaluate, and prioritize risks to support allocation of resources required to ensure protection of public health and safety.
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12th International Conference on Nuclear Engineering
April 25–29, 2004
Arlington, Virginia, USA
Conference Sponsors:
- Nuclear Engineering Division
ISBN:
0-7918-4689-X
PROCEEDINGS PAPER
Industry-Specific Risk Models for Numerical Scoring of Hazards and Prioritization of Safety Measures
Yehia F. Khalil,
Yehia F. Khalil
Yale University, New Haven, CT
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Kathryn Johnson
Kathryn Johnson
Yale University, New Haven, CT
Search for other works by this author on:
Yehia F. Khalil
Yale University, New Haven, CT
Kathryn Johnson
Yale University, New Haven, CT
Paper No:
ICONE12-49283, pp. 97-124; 28 pages
Published Online:
November 17, 2008
Citation
Khalil, YF, & Johnson, K. "Industry-Specific Risk Models for Numerical Scoring of Hazards and Prioritization of Safety Measures." Proceedings of the 12th International Conference on Nuclear Engineering. 12th International Conference on Nuclear Engineering, Volume 3. Arlington, Virginia, USA. April 25–29, 2004. pp. 97-124. ASME. https://doi.org/10.1115/ICONE12-49283
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