Using Eye Movement Features for Secure Authentication
摘要
The protection of data requires the implementation of security and privacy measures. A computer system’s first line of defiance is user authentication. Authentication mechanisms include a variety of mechanisms, and one of the newest and most sophisticated is biometric authentication. By using their biometrics, such as a face scan, fingerprint, voice recognition, gait recognition, and eye movement, biometric authentication uses the unique characteristics of each individual to verify and authenticate them. This paper focuses on eye movement. In addition to being robust against spoofing, continuous authentication, and authentication unconscious without specific action by the user, eye movement has other advantages as well. To identify individuals, this system developed an authentication model based on eye movement features.