计算机科学
稳健性(进化)
笔记本电脑
认证(法律)
路由器
位置跟踪
实时计算
嵌入式系统
计算机网络
计算机安全
生物化学
基因
操作系统
化学
作者
Chi Lin,Jiaye Hu,Yu Sun,Fenglong Ma,Lei Wang,Guowei Wu
标识
DOI:10.1109/sahcn.2018.8397108
摘要
The ubiquitous and fine-grained features of WiFi signals make it promising for achieving device-free authentication. However, traditional methods suffer from drawbacks such as sensitivity to environmental dynamics, low accuracy, long delay, etc. In this paper, we introduce how to validate human identity using the ubiquitous WiFi signals. We develop WiAU, a device-free authentication system which only utilizes a Commodity Off-The-Shelf (COTS) router and a laptop. We describe the constitutions of WiAU and how it works in detail. Through collecting channel state information (CSI) profiles, WiAU automatically segments coherent activities and walking gait using an automatic segment algorithm (ASA). Then, a ResNet algorithm with two dedicated loss functions is designed to validate legal users and recognize illegal ones. Finally, experiments are conducted from different scenes to highlight the superiorities of WiAU in terms of high accuracy, short delay and robustness, revealing that WiAU has an accuracy of over 98% in recognizing human identity and human activities respectively.
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