Authentication process using eye vision with keystroke patterns

Abstract

Biometrics authentication is one of the powerful solutions that being used broadly in the Information Security due to its high effective and accurate results. Nevertheless, most of these methods require specific devices to gain input data. The keystroke dynamics authentication is a biometric technique that requires a common device which is a keyboard. Therefore, this biometric is a very useful technology that can be implemented on various systems over the Internet as long as those users use keyboards. Unfortunately, the defect of using the keystroke dynamics is that the authentication result is invalid when users have different tempers. Thus, the accuracy of the use of the keystroke dynamics can be increased when combining this technique with other biometrics, such as the fingerprint and the iris scan. The unsuitable for these combinations is that special devices are required in the authentication process. So, to eliminate such requirements, this research proposes the modification of keystroke dynamics biometric by adapting it with the speed of eyes vision in order to increase the higher accuracy of identifying legitimate users. The proposed solution presents that the authentication process can be performed on a basic device such as the keyboard.