{"title":"基于暂态扰动的it系统IEMI风险模糊分析方法","authors":"T. Peikert, H. Garbe, S. Potthast","doi":"10.1109/ISEMC.2015.7256318","DOIUrl":null,"url":null,"abstract":"This paper introduces a procedural method for the systematic risk analysis when an IT-System is exposed to an intentional electromagnetic environment (IEME). The method analyzes the susceptibility of an electronic system with the respect to intentional electromagnetic interferences (IEMI). It combines the advantage of fault tree analysis (FTA), electromagnetic topology (EMT) and Bayesian networks (BN) and enhance the statistical-based models for the coupling and the system behavior with uncertain data. The fuzzy approach in this paper adds to the statistical and crisp data, the uncertainness with linguistic terms. That terms treat the predication for that crisp data not exist or only reach with the utmost effort. In a final step the critical scenario are identify and the elements which contribute most to the risk.","PeriodicalId":412708,"journal":{"name":"2015 IEEE International Symposium on Electromagnetic Compatibility (EMC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A fuzzy approach for IEMI risk analysis of IT-Systems with respect to transient disturbances\",\"authors\":\"T. Peikert, H. Garbe, S. Potthast\",\"doi\":\"10.1109/ISEMC.2015.7256318\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a procedural method for the systematic risk analysis when an IT-System is exposed to an intentional electromagnetic environment (IEME). The method analyzes the susceptibility of an electronic system with the respect to intentional electromagnetic interferences (IEMI). It combines the advantage of fault tree analysis (FTA), electromagnetic topology (EMT) and Bayesian networks (BN) and enhance the statistical-based models for the coupling and the system behavior with uncertain data. The fuzzy approach in this paper adds to the statistical and crisp data, the uncertainness with linguistic terms. That terms treat the predication for that crisp data not exist or only reach with the utmost effort. In a final step the critical scenario are identify and the elements which contribute most to the risk.\",\"PeriodicalId\":412708,\"journal\":{\"name\":\"2015 IEEE International Symposium on Electromagnetic Compatibility (EMC)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Symposium on Electromagnetic Compatibility (EMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISEMC.2015.7256318\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Symposium on Electromagnetic Compatibility (EMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISEMC.2015.7256318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fuzzy approach for IEMI risk analysis of IT-Systems with respect to transient disturbances
This paper introduces a procedural method for the systematic risk analysis when an IT-System is exposed to an intentional electromagnetic environment (IEME). The method analyzes the susceptibility of an electronic system with the respect to intentional electromagnetic interferences (IEMI). It combines the advantage of fault tree analysis (FTA), electromagnetic topology (EMT) and Bayesian networks (BN) and enhance the statistical-based models for the coupling and the system behavior with uncertain data. The fuzzy approach in this paper adds to the statistical and crisp data, the uncertainness with linguistic terms. That terms treat the predication for that crisp data not exist or only reach with the utmost effort. In a final step the critical scenario are identify and the elements which contribute most to the risk.