University of Twente Student Theses
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A ranking metric for event impact in safety-security co-analysis
Maas, R.F. (2023) A ranking metric for event impact in safety-security co-analysis.
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| Abstract: | In an ever-evolving world, safety and security are of great importance. Many ways to analyse the risks of safety and security have emerged in the past years. Yet often these methods are either non-quantitative or fail to take into account the interdependencies between the two. We propose a metric to rank events based on their impact on both safety and security to add a quantitative method for co-analysing the two. We use a case study to apply this metric and see whether or not this metric is a proper way of ranking the impact of events on both safety and security. We have modelled this case using a Bayesian network. We have found that though the metric gives a broad overview over the impact of events and their ranking, it is not something that can be used separately from analysis about dependencies and network depth. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/94378 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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