{"title":"Modeling Cyber Knowledge uncertainty","authors":"Dean Lee, S. Hamilton, W. L. Hamilton","doi":"10.1109/CICYBS.2011.5949390","DOIUrl":null,"url":null,"abstract":"Sensor data can be used to provide a snapshot of the state of a mission critical network. However, sensor data and the conclusions derived from it (Cyber Knowledge) will often contain conflicting values for a given conclusion. In this paper we present a new method for representing and combining cyber knowledge that maintains accuracy even in the face of multiple conflicting inputs.","PeriodicalId":436263,"journal":{"name":"2011 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICYBS.2011.5949390","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Sensor data can be used to provide a snapshot of the state of a mission critical network. However, sensor data and the conclusions derived from it (Cyber Knowledge) will often contain conflicting values for a given conclusion. In this paper we present a new method for representing and combining cyber knowledge that maintains accuracy even in the face of multiple conflicting inputs.