{"title":"The Frame Response Time Interval Based Device Fingerprinting Identification","authors":"Jing Guo, Yajuan Guo, Haitao Jiang, Fan Wu, Ziying Wang, Zhimin Gu","doi":"10.1109/WCMEIM56910.2022.10021485","DOIUrl":null,"url":null,"abstract":"Channel state information (CSI)-based wireless device fingerprinting provides an effective authentication scheme at the physical layer of wireless communication devices using CSI short-time invariance, but appears to be inadequate for long-time communication authentication or scenarios that require intermittent authentication. To address this problem, we propose to construct a wireless device fingerprint using frame response time interval (FRTI) and combine a CSI-based wireless dynamic device fingerprint to form a multi-domain fusion wireless device identification and authentication method, which can effectively identify and authenticate wireless devices at the time of wireless device access and during continuous wireless device communication to ensure safe and reliable operation of wireless devices. The experimental results under different scenarios show that using the multi-domain fusion method of frame response interval and channel state information for wireless device identification can significantly improve the accuracy of calculation and transmission delay, and the identification rate reaches more than 95%.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCMEIM56910.2022.10021485","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
Channel state information (CSI)-based wireless device fingerprinting provides an effective authentication scheme at the physical layer of wireless communication devices using CSI short-time invariance, but appears to be inadequate for long-time communication authentication or scenarios that require intermittent authentication. To address this problem, we propose to construct a wireless device fingerprint using frame response time interval (FRTI) and combine a CSI-based wireless dynamic device fingerprint to form a multi-domain fusion wireless device identification and authentication method, which can effectively identify and authenticate wireless devices at the time of wireless device access and during continuous wireless device communication to ensure safe and reliable operation of wireless devices. The experimental results under different scenarios show that using the multi-domain fusion method of frame response interval and channel state information for wireless device identification can significantly improve the accuracy of calculation and transmission delay, and the identification rate reaches more than 95%.