{"title":"移动设备应用程序、蓝牙和Wi-Fi使用数据作为行为生物特征","authors":"T. Neal, D. Woodard, A. Striegel","doi":"10.1109/BTAS.2015.7358777","DOIUrl":null,"url":null,"abstract":"Patterns in the use of mobile devices have the potential to be used as a behavioral biometric for identification of the device user. We explore the distinctiveness and permanence of application, Bluetooth, and Wi-Fi mobile device usage data. Our database consists of data from two hundred mobile phone users collected over a 19-month span. To our knowledge, this is one of the largest databases of its kind. Results of over 500 experiments indicate that user identification rates averaging 80%, 77%, 93%, and 85% are achievable when using application, Bluetooth, Wi-Fi, and the combination of these three types of behavioral features, respectively.","PeriodicalId":404972,"journal":{"name":"2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Mobile device application, Bluetooth, and Wi-Fi usage data as behavioral biometric traits\",\"authors\":\"T. Neal, D. Woodard, A. Striegel\",\"doi\":\"10.1109/BTAS.2015.7358777\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Patterns in the use of mobile devices have the potential to be used as a behavioral biometric for identification of the device user. We explore the distinctiveness and permanence of application, Bluetooth, and Wi-Fi mobile device usage data. Our database consists of data from two hundred mobile phone users collected over a 19-month span. To our knowledge, this is one of the largest databases of its kind. Results of over 500 experiments indicate that user identification rates averaging 80%, 77%, 93%, and 85% are achievable when using application, Bluetooth, Wi-Fi, and the combination of these three types of behavioral features, respectively.\",\"PeriodicalId\":404972,\"journal\":{\"name\":\"2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BTAS.2015.7358777\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BTAS.2015.7358777","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mobile device application, Bluetooth, and Wi-Fi usage data as behavioral biometric traits
Patterns in the use of mobile devices have the potential to be used as a behavioral biometric for identification of the device user. We explore the distinctiveness and permanence of application, Bluetooth, and Wi-Fi mobile device usage data. Our database consists of data from two hundred mobile phone users collected over a 19-month span. To our knowledge, this is one of the largest databases of its kind. Results of over 500 experiments indicate that user identification rates averaging 80%, 77%, 93%, and 85% are achievable when using application, Bluetooth, Wi-Fi, and the combination of these three types of behavioral features, respectively.
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