Development of static keystroke dynamics authentication system

Ng, Wan Thong (2023) Development of static keystroke dynamics authentication system. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Authentication systems have been widely used in daily life for access control purposes. Unfortunately, the use of usernames and passwords to authenticate users is prone to various password attacks. Today, two-factor authentication systems which utilize both password and biometrics authentication systems can be used to mitigate these vulnerabilities. One of the biometrics types which is mostly unique for every person is keystroke dynamics. The typing patterns are based on the timing information of a key pressed and two successive key pressed. The goal of the project is to build a system which is able to record the keystroke patterns of 10 genuine users to determine if the users can be authenticated accurately by using machine learning. The machine learning algorithm used to build the system is Random Forest. The effectiveness of random forest in user authentication is tested and evaluated.

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