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.