Literature DB >> 15876210

A screening methodology for the identification and ranking of infrastructure vulnerabilities due to terrorism.

George E Apostolakis1, Douglas M Lemon.   

Abstract

The extreme importance of critical infrastructures to modern society is widely recognized. These infrastructures are complex and interdependent. Protecting the critical infrastructures from terrorism presents an enormous challenge. Recognizing that society cannot afford the costs associated with absolute protection, it is necessary to identify and prioritize the vulnerabilities in these infrastructures. This article presents a methodology for the identification and prioritization of vulnerabilities in infrastructures. We model the infrastructures as interconnected digraphs and employ graph theory to identify the candidate vulnerable scenarios. These scenarios are screened for the susceptibility of their elements to a terrorist attack, and a prioritized list of vulnerabilities is produced. The prioritization methodology is based on multiattribute utility theory. The impact of losing infrastructure services is evaluated using a value tree that reflects the perceptions and values of the decisionmaker and the relevant stakeholders. These results, which are conditional on a specified threat, are provided to the decisionmaker for use in risk management. The methodology is illustrated through the presentation of a portion of the analysis conducted on the campus of the Massachusetts Institute of Technology.

Year:  2005        PMID: 15876210     DOI: 10.1111/j.1539-6924.2005.00595.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  2 in total

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Authors:  Emily Zechman Berglund; Jorge E Pesantez; Amin Rasekh; M Ehsan Shafiee; Lina Sela; Terranna Haxton
Journal:  J Water Resour Plan Manag       Date:  2020-06-13       Impact factor: 3.054

2.  Threats Detection during Human-Computer Interaction in Driver Monitoring Systems.

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Journal:  Sensors (Basel)       Date:  2022-03-19       Impact factor: 3.576

  2 in total

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