{"title":"海报:动态信道无线设备识别的辐射特征","authors":"Wenqing Yan, T. Voigt, C. Rohner","doi":"10.1109/SPW50608.2020.00037","DOIUrl":null,"url":null,"abstract":"Radiometric signatures have been shown effective in identifying wireless devices based on imperfections in their electronics, also known as fingerprinting. Previous work mainly considered static channel conditions. In this work, we experimentally study the impact of movement and dynamic channel conditions on the radiometric signatures. We demonstrate the feasibility of fingerprinting when channels are dynamic.","PeriodicalId":413600,"journal":{"name":"2020 IEEE Security and Privacy Workshops (SPW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Poster: Radiometric Signatures for Wireless Device Identification over Dynamic Channels\",\"authors\":\"Wenqing Yan, T. Voigt, C. Rohner\",\"doi\":\"10.1109/SPW50608.2020.00037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Radiometric signatures have been shown effective in identifying wireless devices based on imperfections in their electronics, also known as fingerprinting. Previous work mainly considered static channel conditions. In this work, we experimentally study the impact of movement and dynamic channel conditions on the radiometric signatures. We demonstrate the feasibility of fingerprinting when channels are dynamic.\",\"PeriodicalId\":413600,\"journal\":{\"name\":\"2020 IEEE Security and Privacy Workshops (SPW)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Security and Privacy Workshops (SPW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPW50608.2020.00037\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Security and Privacy Workshops (SPW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPW50608.2020.00037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Poster: Radiometric Signatures for Wireless Device Identification over Dynamic Channels
Radiometric signatures have been shown effective in identifying wireless devices based on imperfections in their electronics, also known as fingerprinting. Previous work mainly considered static channel conditions. In this work, we experimentally study the impact of movement and dynamic channel conditions on the radiometric signatures. We demonstrate the feasibility of fingerprinting when channels are dynamic.