The protection of data requires the implementation of security and privacy measures. A computer system’s first line of defence is user authentication. Authentication mechanisms in- clude 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 project focuses on eye movement. In addition to being robust against spoofing, continuous authentication, and authentication un- conscious without specific action by the user, eye movement has other advantages as well. To identify individuals, this project developed an authentication model based on eye movement features.