E-Eye: mmWave nonlinear response for hidden electronic device recognition: demo abstract
暂无分享,去创建一个
Hidden electronics possess the risk of both security threat and privacy intrusion. We present a wireless hidden electronic recognition system, through electronic components unique mmWave nonlinear responses to identify the threats. We then evaluate E-Eye's performance and robustness with a controlled experiment and a field study using iconic devices and score the system with metrics. Results prove that E-Eye is an accurate and robust hidden electronic recognition system.
[1] Zhengxiong Li,et al. E-Eye: Hidden Electronics Recognition through mmWave Nonlinear Effects , 2018, SenSys.
[2] Zhengxiong Li,et al. WaveEar: Exploring a mmWave-based Noise-resistant Speech Sensing for Voice-User Interface , 2019, MobiSys.
[3] P. Anno,et al. Spectral decomposition of seismic data with continuous-wavelet transform , 2005 .
[4] Wenyao Xu,et al. Cardiac Scan: A Non-contact and Continuous Heart-based User Authentication System , 2017, MobiCom.