典型硬件的识别潜力,用于计算机网络用户的隐性识别

V. Vasilyev, A. Sulavko, A. Eremenko, S. Zhumazhanova
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引用次数: 7

摘要

该研究旨在开发一种方法,通过从标准外设接收的数据(击键动力学、网络摄像头记录的面部图像、鼠标动力学),在计算机网络用户的专业活动中持续识别他们。提出了一种新的识别方法。通过自然实验验证了该方法的可靠性。结果(FRR = 0.015, FAR = 0.001)表明,使用标准设备(键盘、鼠标、网络摄像头)基于开放式生物特征图像(如指纹)的识别方法可以接近被试识别的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification potential capacity of typical hardware for the purpose of hidden recognition of computer network users
The research aims at the development of a method of continuous identification of computer network users during their professional activity by means of data received from standard peripherals (keystroke dynamics, facial images registered by a web camera, mouse dynamics). A new method of identification is proposed. A natural experiment evaluating the reliability of the proposed method has been carried out. The results (FRR = 0.015, FAR = 0.001) suggest that it is possible to approach on the subject recognition reliability to the methods of identification based on open biometric images (e.g., fingerprint) using standard equipment (keyboard, mouse, webcam).
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