Robustness of Keystroke-Dynamics Based Biometrics Against Synthetic Forgeries
Biometric systems including keystroke-dynamics based authentication have been well studied in the literature. The attack model in biometrics typically considers impersonation attempts launched by human imposters. However, this attack model is not adequate, as advanced attackers may utilize programs to forge data. In this paper, the authors consider the effects of synthetic forgery attacks in the context of biometric authentication systems. their paper is performed in a concrete keystroke-dynamic authentication system. The main focus of their work is evaluating the security of keystroke-dynamics authentication against synthetic forgery attacks. Their analysis is performed in a remote authentication framework called TUBA that they design and implement for monitoring a user's typing patterns.