A Comprehensive Review of Keystroke Dynamics-Based Authentication Mechanism

Abstract

Keystroke dynamics, also called keystroke biometrics or typing dynamics, is a biometric-based on typing style. Typists have unique typing patterns that can be analyzed to confirm the authenticity of the user. Keystroke dynamics is most often applied in situations where the authenticity of a user must be ascertained with extreme confidence. It could be used as an additional degree of security for password-protected applications. If user’s password is compromised, and the keystroke dynamics of the real user is known, the application may be able to reject the impostor despite having received valid credentials. Different types of keyboards and remote access are major problems of keystroke dynamics authentication technique. In this paper, a comprehensive analysis of contemporary work on keystroke dynamic authentication mechanisms is summarized to analyze the effectiveness of various methodologies in present. Also, various statistical-based and machine learning-based algorithms are analyzed with their strengths and weaknesses. From this survey, it was observed that there is a need to strengthen the keystroke dynamics dataset which has all essential features. Also an efficient algorithm is required to obtain high accuracy to make authentication effective, as the performance of biometric keystroke authentication is still an open research.