{"title":"GPS系统模糊证据累积安全方法分析","authors":"S. Stubberud, K. Kramer","doi":"10.1109/ICCOMM.2014.6866695","DOIUrl":null,"url":null,"abstract":"GPS security is becoming a major concern. In this paper, an evidence accrual system that looks to identify when a GPS navigation system may be compromised is discussed. The techniques use a novel fuzzy Kalman filter to drive the evidence generation. The technique has been modified for a more realistic set of operations that considers possibilities, including variations on jamming or spoofing and the detection capabilities that can be used.","PeriodicalId":366043,"journal":{"name":"2014 10th International Conference on Communications (COMM)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Analysis of fuzzy evidence accrual security approach To GPS systems\",\"authors\":\"S. Stubberud, K. Kramer\",\"doi\":\"10.1109/ICCOMM.2014.6866695\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"GPS security is becoming a major concern. In this paper, an evidence accrual system that looks to identify when a GPS navigation system may be compromised is discussed. The techniques use a novel fuzzy Kalman filter to drive the evidence generation. The technique has been modified for a more realistic set of operations that considers possibilities, including variations on jamming or spoofing and the detection capabilities that can be used.\",\"PeriodicalId\":366043,\"journal\":{\"name\":\"2014 10th International Conference on Communications (COMM)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 10th International Conference on Communications (COMM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCOMM.2014.6866695\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 10th International Conference on Communications (COMM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCOMM.2014.6866695","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of fuzzy evidence accrual security approach To GPS systems
GPS security is becoming a major concern. In this paper, an evidence accrual system that looks to identify when a GPS navigation system may be compromised is discussed. The techniques use a novel fuzzy Kalman filter to drive the evidence generation. The technique has been modified for a more realistic set of operations that considers possibilities, including variations on jamming or spoofing and the detection capabilities that can be used.
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