Fuzzy-Based Risk Analysis for IT-Systems and Their Infrastructure

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Peikert, T.; Garbe, H.; Potthast, S.: Fuzzy-Based Risk Analysis for IT-Systems and Their Infrastructure. In: IEEE Transactions on Electromagnetic Compatibility 59 (2017), Nr. 4, S. 1294-1301. DOI: https://doi.org/10.1109/TEMC.2017.2682643

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1942

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Sum total of downloads: 211




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Abstract: 
This paper introduces a procedural method based on the fuzzy logic and set theory, which analyzes the risk of an IT-System in a facility and its surrounding area. The method analyzes the susceptibility of an electronic system with respect to intentional electromagnetic interferences and classifies the intentional electromagnetic environment (IEME). It extends the well-known statistical-based models fault tree analysis, electromagnetic topology and Bayesian networks (BN) with imprecise data, uncertainness with linguistic terms, and opinions of experts. In a final step, the critical scenarios and the elements and the location that contribute most to the risk are identified, which can be used to enhance the protection level.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Elektrotechnik und Informatik

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 150 71.09%
2 image of flag of United States United States 26 12.32%
3 image of flag of China China 10 4.74%
4 image of flag of Indonesia Indonesia 3 1.42%
5 image of flag of Czech Republic Czech Republic 3 1.42%
6 image of flag of Taiwan Taiwan 2 0.95%
7 image of flag of Latvia Latvia 2 0.95%
8 image of flag of United Kingdom United Kingdom 2 0.95%
9 image of flag of Canada Canada 2 0.95%
10 image of flag of Belgium Belgium 2 0.95%
    other countries 9 4.27%

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