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Keystroke dynamics enabled authentication and identification using triboelectric nanogenerator array
Materials Today ( IF 24.2 ) Pub Date : 2018-04-01 , DOI: 10.1016/j.mattod.2018.01.006
Changsheng Wu , Wenbo Ding , Ruiyuan Liu , Jiyu Wang , Aurelia C. Wang , Jie Wang , Shengming Li , Yunlong Zi , Zhong Lin Wang

Abstract Cyber security has become a serious concern as the internet penetrates every corner of our life over the last two decades. The rapidly developing human–machine interfacing calls for an effective and continuous authentication solution. Herein, we developed a two-factor, pressure-enhanced keystroke-dynamics-based security system that is capable of authenticating and even identifying users through their unique typing behavior. The system consists of a rationally designed triboelectric keystroke device that converts typing motions into analog electrical signals, and a support vector machine (SVM) algorithm-based software platform for user classification. This unconventional keystroke device is self-powered, stretchable and water/dust proof, which makes it highly mobile and applicable to versatile working environments. The promising application of this novel system in the financial and computing industry can push cyber security to the next level, where leaked passwords would possibly be of no concern.

中文翻译:

击键动力学使用摩擦纳米发电机阵列实现身份验证和识别

摘要 在过去的二十年里,随着互联网渗透到我们生活的每一个角落,网络安全已经成为一个严重的问题。快速发展的人机接口需要有效且持续的身份验证解决方案。在此,我们开发了一种基于压力增强型击键动态的双因素安全系统,该系统能够通过用户独特的打字行为对其进行身份验证甚至识别。该系统包括一个设计合理的摩擦电击键装置,将打字动作转换为模拟电信号,以及一个基于支持向量机(SVM)算法的用户分类软件平台。这种非常规的按键设备具有自供电、可拉伸和防水防尘的特点,这使得它具有高度的移动性,适用于多种工作环境。
更新日期:2018-04-01
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