VRCAuth: Continuous Authentication of Users in Virtual Reality Environment Using Head-Movement
VRCAuth: Continuous Authentication of Users in Virtual Reality Environment Using Head-Movement
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DOI：
10.1109/icces48766.2020.9137914
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发表时间：
2020-06
期刊：
影响因子：
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通讯作者：
M. Sivasamy;V. N. Sastry;N. Gopalan
中科院分区：
文献类型：
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作者：
M. Sivasamy;V. N. Sastry;N. Gopalan
在虚拟现实环境中，传统的个人识别码（PIN）和基于密码的机制在用户记忆和窃听方面具有挑战性。简单的PIN和密码削弱了用户身份验证。基于生物特征的身份验证提供了这个问题的解决方案，但在活动期间不连续地验证用户，因为它需要用户主动参与每次身份验证。VRCAuth是一种新的连续认证系统，在虚拟现实环境中为用户实现。在我们的系统中，头部运动是用来提供连续的认证。VRCAuth使用不同的机器学习技术来对授权和未授权用户的头部运动进行分类。VRCAuth不需要任何操作系统级别的修改或额外的硬件，它适合与现有硬件一起使用。VRCAuth的性能更好，在0.02秒内达到99%的准确率，为VR环境中的用户提供连续的身份验证。
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.