Feasibility of using Gyroscope to Derive Keys for Mobile Phone and Smart Wearable

Yuanzhen Liu, Dutliff Boshoff, G. Hancke
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引用次数: 2

Abstract

In the past few years, smart healthcare has become a popular topic. Many users wear smart devices to monitor their health conditions. To provide information for health analysis, many sensors are installed in smart wearable devices to collect personal health data. Due to the limitation of space and computational power, private health data is not processed locally. Instead, it is usually sent to a mobile phone for further analysis, which required wireless data exchange between the mobile phone and smart wearable devices. To protect a user’s privacy, it is important to guarantee the connection security of the devices’ network as well as prevent information leakage. A possible method to secure the data exchange process is symmetric encryption. In this paper, we investigate the feasibility of symmetric key generation for communication between a mobile phone and smart wearable device using angular velocity data collected by gyroscopes as data source. We collected over 1000 samples of gait data, totally more than 20000 seconds of movements, using two industrial products including a smart watch and mobile phone placed on wrist and in pocket respectively. We successfully generated the same random number for mobile phone and smart wearable device in 78% samples.
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利用陀螺仪推导手机和智能穿戴设备密钥的可行性
在过去的几年里,智能医疗已经成为一个热门话题。许多用户佩戴智能设备来监测自己的健康状况。为了为健康分析提供信息,许多传感器被安装在智能可穿戴设备中来收集个人健康数据。由于空间和计算能力的限制,私人健康数据不能在本地处理。相反,它通常被发送到手机上进行进一步分析,这需要手机和智能可穿戴设备之间的无线数据交换。为了保护用户的隐私,必须保证设备网络的连接安全,防止信息泄露。保护数据交换过程的一种可能方法是对称加密。本文以陀螺仪采集的角速度数据为数据源,研究了手机与智能可穿戴设备之间通信对称密钥生成的可行性。我们使用智能手表和手机两种工业产品,分别戴在手腕上和口袋里,收集了超过1000个步态数据样本,总共超过20000秒的动作。我们在78%的样本中成功生成了手机和智能可穿戴设备相同的随机数。
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