证据在手:基于被动振动响应的连续用户认证

Hangcheng Cao, Hongbo Jiang, Daibo Liu, Jie Xiong
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引用次数: 8

摘要

持续的用户身份验证对于维护移动系统的安全性和在整个登录会话中保护用户的隐私非常重要。在本文中,我们提出了HandPass,这是一个连续的用户认证系统,它利用隐藏的手部生物特征的振动响应,由触摸屏上的自然用户设备交互被动激活。手部振动响应被瞬间触发并体现为承受力体(即移动设备和手持设备)的机械振动。因此,内置加速度计可以有效地捕捉手部振动响应的内在特征。手的振动响应是由触发力和复杂的手结构决定的,这对每个用户来说都是独一无二的,很难(如果不是不可能)伪造。HandPass是一种基于被动手部振动响应的基于智能手机的连续用户认证系统,具有非侵入性、高效性和用户友好性等优点。我们在Android智能手机上制作了HandPass原型,并招募了43名志愿者,对其性能进行了全面评估。实验结果表明,HandPass在不同场景下的总体认证准确率为97.3%,错误接受率仅为1.8%。
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Evidence in Hand: Passive Vibration Response-based Continuous User Authentication
Continuous user authentication is of great importance to maintain security for a mobile system and protect user's privacy throughout a login session. In this paper, we propose HandPass, a continuous user authentication system that employs the vibration responses of concealed hand biometrics, which are passively activated by the natural user-device interactions on the touchscreen. Hand vibration responses are instantly triggered and embodied in the mechanical vibration of the force-bearing body (i.e., the mobile device and the holding hand). Therefore, a built-in accelerometer can effectively capture the intrinsic features of hand vibration responses. The hand vibration response is determined by the trigger force and the complex hand structure, which is unique to each user and is difficult (if not impossible) to counterfeit. HandPass is a passive hand vibration response-based continuous user authentication system hosted on smartphones, with advantages of non-intrusiveness, high efficiency, and user-friendliness. We prototyped HandPass on Android smartphones and comprehensively evaluated its performance by recruiting 43 volunteers. Experiment results show that HandPass can achieve 97.3 % overall authentication accuracy and only 1.8 % false acceptance rate in diverse scenarios.
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