I Can Be You: Questioning the Use of Keystroke Dynamics as Biometrics

Keystroke dynamics refer to information about the typ-ing patterns of individuals, such as the relative timing when the individual presses and releases each key. Prior studies suggest that such patterns are unique and cannot be easily imitated. This lays the foundation for the use of keystroke biometrics in authentication systems. The research effort in this area has thus far focused on novel detection techniques to differentiate between legitimate users and imposters. In this paper, we demonstrate a novel feedback and training interface named Mimesis. Mimesis provides both positive and negative feedback on the differences between a submit-ted pattern vs. a reference pattern. This allows one per-son to imitate another through incremental adjustment of typing pattern. We show that even for targets whose typing