Thesis (M.Sc.)--Chulalongkorn University, 2013

Presently, the security of information significantly becomes an important issue for all users over the Internet. Since the single password is insufficient to protect attack from attackers as proved by various researchers, the biometrics has been applied as a new alternative for classifying and identifying users. Keystroke dynamics is a behavioral biometrics with individual characteristic patterns. Meanwhile, each person has a unique typing pattern that might cause from individual skills of typing the keypress. In addition, a research had proved that the eye vision can be counted as a biometric that can identify an individual person with higher accuracy when combining with keystroke dynamics. However, this research has found that the measurement times in the keystroke dynamics mechanism is related to the typing character’s location. Therefore, this research has objective to propose that the vision speed and the location of typing unknown character should be integrated in the authentication mechanism to gain higher accuracy.