Protecting Your Smartphone from Theft Using Accelerometer

  • Huiyong LiEmail author
  • Jiannan YuEmail author
  • Qian CaoEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11342)


In recent years, there have been many studies using the data generated by the built-in sensors of mobile phones for authentication and the selection of features is involved in the use of sensor data. This article discusses the method of biological feature selection by taking the mobile phone acceleration sensor as an example. 30 participants were invited to walk with their mobile phones for data collection to obtain data set 1. Several characteristics were evaluated from multiple aspects to select a number of effective features. 15 participants were invited to collect data set 2 under the condition of simulating dialy life. A feature-based authentication method is proposed and a success rate of 93.6% is obtained on data set 1. On the data set 2, 91.90% of the recognition success rate was obtained.


Authentication Biological feature Accelerometer Feature evaluation 



This work was supported in part by National Natural Science Foundation of China (61602024, 61702018).


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.School of Computer ScienceBeihang UniversityBeijingChina
  2. 2.Department of Computer and Information EngineeringBeijing Technology and Business UniversityBeijingChina

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