Abstract
Mobile banking applications are one of the most sensitive apps for secure authentication. Recently, use of continuous authentication using behavioral metrics are proposed where interactions of users with the mobile devices are tracked by collecting sensor data and touch-screen data. However, this may bring extra overhead in terms of resource consumption considering battery limited devices. In this work, augmentation of a mobile banking application with continuous authentication using behavioral biometrics is presented and its performance is analyzed in terms of resource usage. The banking application is running on Android phones and the presented architecture uses the data generated by the accelerometer, the gyroscope and the magnetometer sensors and the touchscreen usage. We examined the power consumption, CPU usage, I/O usage and the impacts of the sampling rate of each sensor. We also proposed possible performance improvements as future work.
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