Identity Authentication Based on Sensors of Smartphone and Neural Networks

The smartphone has become an indispensable electric device for most people since it can assist us in finishing many tasks such as paying and reading. Therefore, the security of smartphones is the most crucial issue to illegal users who cannot access legal users’ privacy information. This paper studies identity authentication using user action. This scheme does not rely on the password or biometric identification. It checks user identity just by user action features. We utilize sensors installed in smartphones and collect their data when the user waves the phone. We collect these data, process them and feed them into neural networks to realize identity recognition. We invited 13 participants and collected about 350 samples for each person. The sampling frequency is set at 200 Hz, and DenseNet is chosen as the neural network to validate system performance. The result shows that the neural network can effectively recognize user identity and achieve an authentication accuracy of 96.69 percent.

城市如何让生活更美好——文从宿好军的《金昌城市文化发展战略研究》看城市发展

改革开放40年,是我国城市化进程快速推进的40年。但由于种种原因,我国的城市建设还存在诸多问题。宿好军的《金昌城市文化发展战略研究》,以金昌为案例,对城市发展的规律进行了理性思考,对城市建设发展的路径进行了深入探索,这对于我们在新时代更加坚定文化自信,树立新的城市发展观,确立正确的城市文化发展战略,具有典型意义和重要的参考价值。