Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 7892009 |
| Seiten (von - bis) | 1294-1301 |
| Seitenumfang | 8 |
| Fachzeitschrift | IEEE Transactions on Electromagnetic Compatibility |
| Jahrgang | 59 |
| Ausgabenummer | 4 |
| Publikationsstatus | Veröffentlicht - 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.
ASJC Scopus Sachgebiete
- Physik und Astronomie (insg.)
- Atom- und Molekularphysik sowie Optik
- Physik und Astronomie (insg.)
- Physik der kondensierten Materie
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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in: IEEE Transactions on Electromagnetic Compatibility, Jahrgang 59, Nr. 4, 7892009, 08.2017, S. 1294-1301.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › 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 -