Verification of Keyboard Acoustics Authentication on Laptops and Smartphones Using WebRTC

C. Tietz, Eric Klieme, Lukas Behrendt, Pawel Böning, Leonard Marschke, C. Meinel
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Abstract

This paper evaluates authentication based on sounds emitted while typing on a laptop’s keyboard only with the help of the integrated microphones and a smartphone placed nearby. The sound samples of 26 individuals were recorded in a novel real-world scenario using only web technologies. The data of laptop and the smartphone was compared based on existing approaches. They can reach Equal-Error-Rates (EERs) of 11.2% on the laptop data and 9.3% on the smartphone data.
基于WebRTC的笔记本电脑和智能手机键盘声学认证验证
该论文仅利用集成麦克风和放置在附近的智能手机,根据在笔记本电脑键盘上打字时发出的声音来评估身份。26个人的声音样本被记录在一个新的现实世界场景中,只使用网络技术。在现有方法的基础上,对笔记本电脑和智能手机的数据进行比较。他们在笔记本电脑数据上的平均错误率(EERs)达到11.2%,在智能手机数据上达到9.3%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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