New attack based on smartwatch motion sensors and the protection method research

Chen-guang SONG; Jian-wei LIU; Qian-hong WU; Zhen-yu GUAN

doi:10.11959/j.issn.1000-436x.2015304

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New attack based on smartwatch motion sensors and the protection method research

Academic communication | 更新时间：2024-06-05

- New attack based on smartwatch motion sensors and the protection method research
- Journal on Communications Vol. 36, Issue Z1, Pages: 235-242(2015)
- 作者机构：
  
  北京航空航天大学电子信息工程学院，北京 100191
- 作者简介：
- 基金信息：
  
  The National Basic Research Program of China (973 Program)(2012CB315905);The National Natural Science Foundation of China(61272501);The National Natural Science Foundation of China(61370190);The National Natural Science Foundation of China(61173154);The Fundamental Research Funds for the Central Universities(YWF-15-GJSYS-059)
- DOI：10.11959/j.issn.1000-436x.2015304
  CLC： TP309
- Online First：2015-11，
  
  Published：25 November 2015
- 稿件说明：
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Chen-guang SONG, Jian-wei LIU, Qian-hong WU, et al. New attack based on smartwatch motion sensors and the protection method research[J]. Journal on Communications, 2015, 36(Z1): 235-242.
DOI：

Chen-guang SONG, Jian-wei LIU, Qian-hong WU, et al. New attack based on smartwatch motion sensors and the protection method research[J]. Journal on Communications, 2015, 36(Z1): 235-242. DOI： 10.11959/j.issn.1000-436x.2015304.

摘要

智能手表上搭载了加速度计、陀螺仪等运动传感器，且会随着手部运动而产生位移，使通过智能手表窃取用户外部键盘输入成为了可能。研究了智能设备上基于6轴加速度计/陀螺仪来推断用户键盘输入的可行性，建立了用户进行键盘输入时的运动模型来对手部运动进行分类识别。当用户执行敏感输入，如在数字键盘上输入密码时，可根据传感器信息推断出密码。经实验验证，该方法可有效识别4位PIN码，证明此安全问题值得人们重视。

Abstract

Smart watch shipped with various embedded motion sensors

such as the accelerometer and gyroscope.Smart watch can follow the movement of hand to recognize the corresponding displacement

so that others can steal user’s external keyboard input through smart watches.The feasibility of intelligent device based on 6 axis accelerometer/gyroscope to infer the user’s keyboard input was researched

and the user’s keyboard input kinematic model for motion classification recognition was established.When users perform sensitive inputting

such as passwords inputting on digital keyboard

the passwords according to sensor information can be deduced.The results show that the approach can effectively recognize the PIN code on keyboard

which absolutely prove the seriousness of this safety problem.

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references

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