Gait-based implicit authentication using edge computing and deep learning for mobile devices

HIGHLIGHTS

  • who: Xin Zeng and colleagues from the School of Electronic and Electrical Engineering, Shanghai University of Engineering Science have published the research: Gait-Based Implicit Authentication Using Edge Computing and Deep Learning for Mobile Devices, in the Journal: Sensors 2021, 21, 4592. of /2021/
  • what: The authors propose an implicit authentication architecture on edge computing coined Edge mobile Device Implicit Authentication (EDIA) which exploits biometric identification using a deep learning model to authenticate users. The authors evaluate the performance of EDIA under different scenarios where the results show that i) the authors achieve a true . . .

     

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