NEW AUTHENTICATION USING SYMBOL-BASED PASSWORD COMBINED WITH KEYSTROKE DYNAMICS

Abstract

Presently, mobile devices such as Smartphone or tablet become a part of people’s life. Many facilitate applications has been developed and widely used on those devices, such as financial transaction application, virtual credit and debit card application. These devices are used as personal information storage for users which that information is high risk for being stolen. The authentication process was brought to authenticate between the real user and intruders. Thus, using only single-factor authentication such as username or password might not be enough compared to the high-technology crimes. So, using multi-factor in authentication process is a better way. In the authentication process, there are many types of factors. One of the types of factors is using something that people are, Biometrics. Biometrics is a unique factor which can be used to identify a person. One of the most using behavioral biometrics is keystroke dynamics. Unfortunately, the keystroke dynamic mechanism usually works on an actual keyboard. So it is an interesting issue to apply the keystroke dynamic mechanism onto the touchscreen mobile device. Furthermore, using a symbol-based password instead of the traditional password is an interesting option to increase higher security in the authentication process. So, this research focuses on the use of combination between symbol-based password with keystroke dynamics, included other behavioral biometrics which can be retrieved from the touchscreen mobile device. The result of this study shows that using the combination of the symbol-based password with keystroke dynamics and other behavioral biometrics provides a high accuracy in the authentication process and can be used in an actual touchscreen mobile device.