In recent years, simple password-based authentication systems have increasingly proven ineffective for many classes of real-world devices. As a result, many researchers have concentrated their efforts on the design of new biometric authentication systems. This trend has been further accelerated by the advent of mobile devices, which offer numerous sensors and capabilities to implement a variety of mobile biometric authentication systems. Along with the advances in biometric authentication, however, attacks have also become much more sophisticated and many biometric techniques have ultimately proven inadequate in face of advanced attackers in practice. In this paper, we investigate the effectiveness of sensorenhanced keystroke dynamics, a recent mobile biometric authentication mechanism that combines a particularly rich set of features. In our analysis, we consider different types of attacks, with a focus on advanced attacks that draw from general population statistics. Such attac...