{"title":"Research of Command Automation System Survivability Assessment Model","authors":"Rulin Hu, X. He, Shaomin Yang","doi":"10.1109/ICINIS.2010.122","DOIUrl":null,"url":null,"abstract":"Based on the structural complexity of command automation system, starting from command automation system itself and the relationship between system and its environment, survivability analysis of command automation system is divided into three sub-problems of system services, external environment and model construction to be analyzed respectively. Therefore, it simplifies the complexity of the problem. Based on the uncertainty of survivability assessment information of command automation system, Bayesian network is introduced into model construction. This paper demonstrates the model construction process of command automation system survivability assessment by an example. This method has a good operability. It can not only quantitatively calculate the survivability probability of command automation system, but can also identify the major environmental factors affecting the system and the weak links of the system by diagnostic reasoning.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"06 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINIS.2010.122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Based on the structural complexity of command automation system, starting from command automation system itself and the relationship between system and its environment, survivability analysis of command automation system is divided into three sub-problems of system services, external environment and model construction to be analyzed respectively. Therefore, it simplifies the complexity of the problem. Based on the uncertainty of survivability assessment information of command automation system, Bayesian network is introduced into model construction. This paper demonstrates the model construction process of command automation system survivability assessment by an example. This method has a good operability. It can not only quantitatively calculate the survivability probability of command automation system, but can also identify the major environmental factors affecting the system and the weak links of the system by diagnostic reasoning.
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