{"title":"Uncertainty analysis in system-level vulnerability assessment for IEMI","authors":"Congguang Mao, F. Canavero","doi":"10.1109/ISEMC.2015.7256317","DOIUrl":null,"url":null,"abstract":"As an integrity of numbers of equipments and links, the system-level vulnerability assessment for the intentional electromagnetic interferences (IEMI) involves massive activities, such as analysis, computation and tests. The uncertainties of the systems and environments will influence the assessment results. So it is necessary to find out and limit the sources of uncertainty in order to guarantee and promote the reliability and accuracy of the assessment. This paper, based on the assessment formulation of Bayesian Networks (BN), analyzes the uncertainty from the two aspects: the data processing and acquisition. Both of them are illuminated with two typical cases. The further study needed to be done is suggested finally.","PeriodicalId":412708,"journal":{"name":"2015 IEEE International Symposium on Electromagnetic Compatibility (EMC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Symposium on Electromagnetic Compatibility (EMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISEMC.2015.7256317","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
As an integrity of numbers of equipments and links, the system-level vulnerability assessment for the intentional electromagnetic interferences (IEMI) involves massive activities, such as analysis, computation and tests. The uncertainties of the systems and environments will influence the assessment results. So it is necessary to find out and limit the sources of uncertainty in order to guarantee and promote the reliability and accuracy of the assessment. This paper, based on the assessment formulation of Bayesian Networks (BN), analyzes the uncertainty from the two aspects: the data processing and acquisition. Both of them are illuminated with two typical cases. The further study needed to be done is suggested finally.