Improvement and Evaluation of Continuous Authentication Algorithm Using Keystroke Dynamics

Abstract

In security technology to prevent unauthorized access, continuous authentication is a method that performs authentication multiple times continuously, as well as just once initially. In this study, we propose an improved method for DPTM (Dynamic Probability Trust Model), which is one of the continuous authentication algorithms. Specifically, the equations related to the trust value calculation in the conventional DPTM are modified to prevent the immediate lockout of genuine users. Experiments using hardware keyboard keystroke data collected from 20 subjects demonstrate that the improved DPTM exhibits superior performance in continuous authentication tasks compared to the conventional DPTM.