Florian Adamsky, Tatiana Retunskaia, Stefan Schiffner, C. Köbel, T. Engel
{"title":"基于信道状态信息(CSI)的WLAN设备指纹","authors":"Florian Adamsky, Tatiana Retunskaia, Stefan Schiffner, C. Köbel, T. Engel","doi":"10.1145/3212480.3226099","DOIUrl":null,"url":null,"abstract":"As of IEEE 802.11n, a wireless Network Interface Card (NIC) uses Channel State Information (CSI) to optimize the transmission over multiple antennas. CSI contain radio-metrics such as amplitude and phase. Due to scattering during hardware production these metrics exhibit unique properties. Since these information are transmitted unencrypted, they can be captured by a passive observer. We show that these information can be used to create a unique fingerprint of a wireless device, based on as little as 100 CSI packets per device collected with an off-the-shelf Wi-Fi card. For our proof of concept we captured data from seven smartphones including two identical models. We were able to identify more than 90% when using out-of-the-box Random Forrest (RF).","PeriodicalId":267134,"journal":{"name":"Proceedings of the 11th ACM Conference on Security & Privacy in Wireless and Mobile Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"WLAN Device Fingerprinting using Channel State Information (CSI)\",\"authors\":\"Florian Adamsky, Tatiana Retunskaia, Stefan Schiffner, C. Köbel, T. Engel\",\"doi\":\"10.1145/3212480.3226099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As of IEEE 802.11n, a wireless Network Interface Card (NIC) uses Channel State Information (CSI) to optimize the transmission over multiple antennas. CSI contain radio-metrics such as amplitude and phase. Due to scattering during hardware production these metrics exhibit unique properties. Since these information are transmitted unencrypted, they can be captured by a passive observer. We show that these information can be used to create a unique fingerprint of a wireless device, based on as little as 100 CSI packets per device collected with an off-the-shelf Wi-Fi card. For our proof of concept we captured data from seven smartphones including two identical models. We were able to identify more than 90% when using out-of-the-box Random Forrest (RF).\",\"PeriodicalId\":267134,\"journal\":{\"name\":\"Proceedings of the 11th ACM Conference on Security & Privacy in Wireless and Mobile Networks\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 11th ACM Conference on Security & Privacy in Wireless and Mobile Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3212480.3226099\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 11th ACM Conference on Security & Privacy in Wireless and Mobile Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3212480.3226099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
摘要
在IEEE 802.11n标准下,无线网卡使用CSI (Channel State Information)来优化多天线传输。CSI包含无线电度量,如振幅和相位。由于硬件生产过程中的散射,这些指标表现出独特的性质。由于这些信息是未加密传输的,因此它们可以被被动观察者捕获。我们展示了这些信息可以用来创建无线设备的唯一指纹,基于用现成的Wi-Fi卡收集的每个设备的100个CSI数据包。为了证明我们的概念,我们从7部智能手机上获取了数据,其中包括两款相同的型号。当使用开箱即用的随机福雷斯特(RF)时,我们能够识别90%以上。
WLAN Device Fingerprinting using Channel State Information (CSI)
As of IEEE 802.11n, a wireless Network Interface Card (NIC) uses Channel State Information (CSI) to optimize the transmission over multiple antennas. CSI contain radio-metrics such as amplitude and phase. Due to scattering during hardware production these metrics exhibit unique properties. Since these information are transmitted unencrypted, they can be captured by a passive observer. We show that these information can be used to create a unique fingerprint of a wireless device, based on as little as 100 CSI packets per device collected with an off-the-shelf Wi-Fi card. For our proof of concept we captured data from seven smartphones including two identical models. We were able to identify more than 90% when using out-of-the-box Random Forrest (RF).