Browsing by Author "Rawat, Prashant"

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    Evaluating Voxel-Based Graphical Passwords for Virtual Reality
    (Ieee Computer Soc, 2024) Rawat, Prashant; Turkmen, Rumeysa; Nwagu, Chukwuemeka; Sunday, Kissinger; Machuca, Mayra Donaji Barrera
    Previous work has proposed using voxel-based graphical passwords (VGPs) for Virtual Reality (VR) as a secure, easy-to-remember way to authenticate users. Moreover, eye-tracking technology adds another level of security, as it avoids observational threats when entering the password. However, previous work has yet to evaluate the user performance, usability, and memorability of different combinations of VGPs. In two user studies, we first identified the best combination of shape and volume for VGPs. Then, we compare 3D versus 2D VGPs. Our results show that a cube is the best shape regarding usability and user preference. We also identified that 2D VGPs are easier to remember than 3D VGPs, as shown by a higher password accuracy and lower error rate. Our results inform the implementation of VGPs and other graphical passwords in VR.
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    Put your glasses on: A voxel-based 3D authentication system in VR using eye -gaze
    (IEEE Computer Soc, 2023) Turkmen, Rumeysa; Nwagu, Chukwuemeka; Rawat, Prashant; Riddle, Poppy; Sunday, Kissinger; Machuca, Mayra Barrera
    Due to the current push of social Virtual Reality (VR) apps and mobile VR headsets, users are surrounded by people in real life and virtually. Users need a private method to authenticate payments or login into apps. In this paper, we propose VoxAuth, a novel voxel-based 3D authentication system, allowing users to input their password in a private way. By using eye-gaze as a secure, input method, people outside VR are prevented from observing the password. Sunglasses on the avatar appear during the authentication process both as a gaze observation prevention and as a signal that the user is still connected.