{"title":"系统的系统中的非理性系统行为","authors":"Douglas L. Van Bossuyt, B. O’Halloran, R. Arlitt","doi":"10.1002/sys.21520","DOIUrl":null,"url":null,"abstract":"System of systems (SoS) failures can sometimes be traced to a system within the SoS behaving in unexpected ways. Due to their emergent complexity, these types of failures are notoriously challenging to foresee. This paper presents a method to aid in predicting unknown unknowns in a SoS. Irrationality initiators – failure flows emanating from one system that serve as unexpected initiating events in another system – are introduced into quantitative risk analysis methods such as the Failure Flow Identification and Propagation framework and Probabilistic Risk Assessment. Analysis of models built using this approach yield a probability distribution of failure paths through a system within the SoS that are initiated by unexpected behaviors of other systems within the SoS. The method is demonstrated using an example of an autonomous vehicle network operating in a partially denied environment with hostile forces present. Using the concept of irrationality initiators, it is possible to identify and prioritize vulnerabilities in the system of interest in the SoS.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Irrational System Behavior in a System of Systems\",\"authors\":\"Douglas L. Van Bossuyt, B. O’Halloran, R. Arlitt\",\"doi\":\"10.1002/sys.21520\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"System of systems (SoS) failures can sometimes be traced to a system within the SoS behaving in unexpected ways. Due to their emergent complexity, these types of failures are notoriously challenging to foresee. This paper presents a method to aid in predicting unknown unknowns in a SoS. Irrationality initiators – failure flows emanating from one system that serve as unexpected initiating events in another system – are introduced into quantitative risk analysis methods such as the Failure Flow Identification and Propagation framework and Probabilistic Risk Assessment. Analysis of models built using this approach yield a probability distribution of failure paths through a system within the SoS that are initiated by unexpected behaviors of other systems within the SoS. The method is demonstrated using an example of an autonomous vehicle network operating in a partially denied environment with hostile forces present. Using the concept of irrationality initiators, it is possible to identify and prioritize vulnerabilities in the system of interest in the SoS.\",\"PeriodicalId\":314200,\"journal\":{\"name\":\"2018 13th Annual Conference on System of Systems Engineering (SoSE)\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 13th Annual Conference on System of Systems Engineering (SoSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/sys.21520\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/sys.21520","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
System of systems (SoS) failures can sometimes be traced to a system within the SoS behaving in unexpected ways. Due to their emergent complexity, these types of failures are notoriously challenging to foresee. This paper presents a method to aid in predicting unknown unknowns in a SoS. Irrationality initiators – failure flows emanating from one system that serve as unexpected initiating events in another system – are introduced into quantitative risk analysis methods such as the Failure Flow Identification and Propagation framework and Probabilistic Risk Assessment. Analysis of models built using this approach yield a probability distribution of failure paths through a system within the SoS that are initiated by unexpected behaviors of other systems within the SoS. The method is demonstrated using an example of an autonomous vehicle network operating in a partially denied environment with hostile forces present. Using the concept of irrationality initiators, it is possible to identify and prioritize vulnerabilities in the system of interest in the SoS.