Design and Development of an Arduino®-based Intelligent Biometrics Identifier System to Recognize Individual Typing Patterns

Chong, Nyee Hao (2016) Design and Development of an Arduino®-based Intelligent Biometrics Identifier System to Recognize Individual Typing Patterns. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

Text CHONG NYEE HAO Full Text.pdf Restricted to Registered users only Download (1MB)

Abstract

Although a variety of authentication devices may be used to verify a user’s identity, passwords remain the most preferred method especially when a keyboard is the data entry device. This is because password authentication is relatively inexpensive, intuitively familiar to most users, and supported by most operating systems. However, unless it is used correctly, the level of security provided by passwords can be low. Despite many years of widespread use, the issue of weak user password still exits. Hence, multi-factor approaches are needed to extend and strengthen the security level that passwords provide. In addition to different and personalized passwords for each user, the users also have a unique way of using the keyboard to enter their passwords. By leveraging on these differences, one can develop a methodology that may be used to improve security by using keystroke biometrics (or in some literature, typing biometrics) to reinforce password-authentication mechanisms. This project focusses on using the force exerted on each button of a numerical keypad to create the individual and personalised typing pattern to reinforce the common password-authentication mechanism so as to assist in authenticating the individuals more effective