Efficient Remote User Authentication Technique for Internet Based Applications Using Keystroke Dynamics

Abstract

Now-a day’s remote users can get the benefit of different services from different servers using the internet. In such multi-server environment, one major security drawback is to identify the legitimate remote user of a web service on the internet. Traditional two factor authentication technique is vulnerable to, password guessing attack, stolen verifier attack, man-in-the-middle attack, etc. To eliminate this security problem, biometric authentication is essential. Keystroke dynamics, one of the behavioural biometric features can be used for remote user authentication. In this paper, a three factor based remote user authentication protocol has been proposed which uses keystroke dynamics as a third factor with two other previous factors. This authentication protocol will use machine learning techniques which results low false acceptance rate (FAR), false rejection rate (FRR) and low equal error rate (ERR).