Details
| Original language | English |
|---|---|
| Article number | 7892009 |
| Pages (from-to) | 1294-1301 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Electromagnetic Compatibility |
| Volume | 59 |
| Issue number | 4 |
| Publication status | Published - Aug 2017 |
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.
Keywords
- Decision making under risk, electromagnetic (EM) effects, fuzzy logic, fuzzy rules, fuzzy sets, intentional electromagnetic environment (IEME), intentional electromagnetic interference (IEMI), probabilistic risk analysis
ASJC Scopus subject areas
- Physics and Astronomy(all)
- Atomic and Molecular Physics, and Optics
- Physics and Astronomy(all)
- Condensed Matter Physics
- Engineering(all)
- Electrical and Electronic Engineering
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In: IEEE Transactions on Electromagnetic Compatibility, Vol. 59, No. 4, 7892009, 08.2017, p. 1294-1301.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Fuzzy-Based Risk Analysis for IT-Systems and Their Infrastructure
AU - Peikert, Tim
AU - Garbe, Heyno
AU - Potthast, Stefan
N1 - Publisher Copyright: © 2017 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/8
Y1 - 2017/8
N2 - 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.
AB - 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.
KW - Decision making under risk
KW - electromagnetic (EM) effects
KW - fuzzy logic
KW - fuzzy rules
KW - fuzzy sets
KW - intentional electromagnetic environment (IEME)
KW - intentional electromagnetic interference (IEMI)
KW - probabilistic risk analysis
UR - http://www.scopus.com/inward/record.url?scp=85017159571&partnerID=8YFLogxK
U2 - 10.1109/TEMC.2017.2682643
DO - 10.1109/TEMC.2017.2682643
M3 - Article
AN - SCOPUS:85017159571
VL - 59
SP - 1294
EP - 1301
JO - IEEE Transactions on Electromagnetic Compatibility
JF - IEEE Transactions on Electromagnetic Compatibility
SN - 0018-9375
IS - 4
M1 - 7892009
ER -