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Survival in our society relies on continued services from interdependent critical infrastructures. CITI failures are particularly pervasive in their penetration of all infrastructures and can have a very large impact in the workings of this fabric of society. In this research, we have explored a less studied proposition of using public domain data to understand CITI and other critical infrastructures interdependencies. Using this approach we have studied public domain infrastructure failure report for considerable span of time (12 years). To our knowledge, this is the first attempt of this type of analysis in this area (using either public or privately owned data sources). This paper also discusses the difficulties and limitations of using public domain data in an academic research.. We have developed a CITI failure database that will be very useful for our Infrastructures Interdependencies Coordination (I2C) research group at UBC to set up realistic test case scenarios involving CITI failures during large-scale system failure situations involving multiple infrastructure interdependencies. This work was done as part of the effort by the I2C group (Infrastructure Interdependencies Coordination group) of the University of British Columbia to better understand, model, and simulate infrastructure interdependencies during large disaster situations.
critical infrastructures, failure propagation, infrastructure interdependencies, communication and information technology infrastructure, security of critical infrastructures, failure identification, telecommunications, I2C, CITI, infrastructure failure, JIIRP, RISKS forum
critical infrastructures, failure propagation, infrastructure interdependencies, communication and information technology infrastructure, security of critical infrastructures, failure identification, telecommunications, I2C, CITI, infrastructure failure, JIIRP, RISKS forum
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 24 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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