VRCAuth: Continuous Authentication of Users in Virtual Reality Environment Using Head-Movement

Abstract

The traditional PIN (Personal Identification Number) and password-based mechanisms are challenging in terms of remembering by the user and eavesdropping in VR (Virtual Reality) environment. The easy PINs and passwords weaken user authentication. The biometric-based authentication provides the solution to this problem but does not verify the user continuously during activities because it needs the active participation of the user for every authentication. The VRCAuth, a novel continuous authentication system is implemented for the user in the VR environment. In our system, head motion is used to provide continuous authentication. VRCAuth uses different machine learning techniques to classify the head motion of an authorized and unauthorized user. VRCAuth does not require any OS-level modifications or extra hardware, and it is suitable to use with existing hardware. VRCAuth performs better by attaining the accuracy of 99 % in 0.02 seconds providing a continuous authentication to the user in VR environment.