The effect of different postures on accuracy of continuous authentication with keystroke

Abstract

In this paper, we assume that the user’s posture when using a laptop computer affects the keystrokes, and examine the effect of the difference in posture on the keystroke continuation authentication accuracy. Keystroke data when using a laptop computer were collected from 5 subjects for 3 different postures (basic posture and 2 other postures selected by each subject). In the experiment, we compared the accuracy of continuous authentication with and without posture information. We employed two authentication methods, a machine learning-based and a distance-based. The DTM protocol was used to evaluate the accuracy of continuous authentication. As a result, we confirmed that the test data with posture information didn’t significantly affect the continuous authentication accuracy in either the machine learning-base or the distance-base.