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LiReK: A lightweight and real-time key establishment scheme for wearable embedded devices by gestures or motions

机译:LiReK:通过手势或动作为可穿戴嵌入式设备提供的轻量级实时密钥建立方案

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摘要

With the recent trend in wearable technology adoption, the security of these wearable devices has been the subject of scrutiny. Traditional cryptographic schemes such as key establishment schemes are not practical for deployment on the (resource-constrained) wearable devices, due to the limitations in their computational capabilities (e.g. limited battery life). Thus, in this study, we propose a lightweight and real-time key establishment scheme for wearable devices by leveraging the integrated accelerometer. Specifically, we introduce a novel way for users to initialize a shared key using random shakes/movements on their wearable devices. Construction of the real-time key is based on the users’ motion (e.g. walking), which does not require the data source for key construction in different devices worn by the same user to be matching. To address the known limitations on the regularity and predictability of gait, we propose a new quantization method to select data that involve noise and uncertain factors when generating secure random number. This enhances the security of the derived key. Our evaluations demonstrate that the matching rate of the shake-to-generate secret key is up to 91.00% and the corresponding generation rate is 2.027 bit/s, and devices worn on human participant’s chest, waist, wrist and carried in the participant’s pocket can generate 4.405, 4.089, 6.089 and 3.204 bits random number per second for key generation, respectively.
机译:随着可穿戴技术采用的最新趋势,这些可穿戴设备的安全性已成为审查的主题。由于其计算能力的局限性(例如,有限的电池寿命),诸如密钥建立方案之类的传统密码方案对于在(资源受限的)可穿戴设备上的部署是不实际的。因此,在这项研究中,我们利用集成的加速度计为可穿戴设备提出了一种轻量级的实时密钥建立方案。具体来说,我们为用户介绍了一种新颖的方式,供用户使用可穿戴设备上的随机摇动/移动来初始化共享密钥。实时密钥的构造基于用户的运动(例如步行),而该数据不需要匹配同一用户所佩戴的不同设备中的密钥构造的数据源。为了解决步态规律性和可预测性方面的已知限制,我们提出了一种新的量化方法来选择生成安全随机数时涉及噪声和不确定因素的数据。这增强了派生密钥的安全性。我们的评估表明,摇动生成密钥的匹配率高达91.00%,相应的生成率为2.027 bit / s,并且可以穿戴在参与者的胸部,腰部,腕部以及参与者的口袋中的设备可以每秒分别生成4.405、4.089、6.089和3.204位随机数用于密钥生成。

著录项

  • 来源
    《Future generation computer systems》 |2018年第7期|126-138|共13页
  • 作者单位

    School of Computer Science, China University of Geosciences,Guizhou Provincial Key Laboratory of Public Big Data, GuiZhou University;

    School of Computer Science, China University of Geosciences,Guizhou Provincial Key Laboratory of Public Big Data, GuiZhou University,Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences (Wuhan);

    School of Computer Science, University of East Anglia;

    School of Computer Science, China University of Geosciences,Department of Information Systems and Cyber Security, University of Texas at San Antonio;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Lightweight; Key management; Real-time; Body sensor networks; Embedded devices;

    机译:轻巧;密钥管理;实时;身体传感器网络;嵌入式设备;

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