P300-based user authentication system using photos of acquaintances

Abstract

User authentication system is the system that decides whether to accept or reject the claiming identity of a person. Biometric-based user authentication utilizes the individuality in human physiological and behavioral characteristics to authorize a person. Brain-signal-based authentication system is relatively new comparing to other types of biometric data. In this paper, we proposed a new method that applies P300-based Brain Computer Interface (BCI) technique to the authentication system. The main concept for P300-BCI-based authentication is that the Oddball paradigm eliciting P300 waves is secret to the attacker. The proposed authentication system has 0.022 False Rejection Rate (FRR), 0.004 False Acceptation Rate (FAR) for secret-unknown attack and 0.011 for secret-known attack. This study has shown that P300 wave has good potential as a biometric for highly secured authentication system.