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Secure and Usable Handshake Based Pairing for Wrist-Worn Smart Devices on Different Users

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Abstract

Wrist-worn smart devices are being used to share various sensitive personal information in various fields such as social, medical treatment, sports, etc. Secure pairing establishing a trusted channel between involved devices is a prerequisite to ensure data transmission security. Handshake has been employed to realize secure pairing between devices worn by different users without pre-shared knowledge, the participation of third parties or complicated user interactions. However, existing schemes cannot meet the practical requirement in terms of time delay and security. In this paper, we present a secure and usable pairing scheme utilizing the handshake acceleration data. Specifically, we propose an optimal feature selection algorithm based on Euclidean distance sorting which improves the success rate and security of the system. In addition, we use Pearson correlation coefficient based feature sequence similarity measurement approach to enhance the accuracy of pairing scheme. Theoretical and experimental security analysis indicates that our solution can resist active and passive attacks. What’s more, the experimental results demonstrate that the proposed solution has a high key generation rate of 87 bits per second, and completes security pairing in less than 4 s.

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Acknowledgments

This work is partially supported by the National Natural Science Foundation of China (62072352, U1708262, 61872449, 61772548, 61902290, 61772008), the project “The Verification Platform of Multi-tier Coverage Communication Network for oceans (LZC0020)”, Scientific Research Program Funded by the Education Department of Shaanxi Province (20JY016), Guangxi Key Laboratory of Trusted Software, Natural Science Foundation of Shaanxi Province (2019JM-109), Key Research and Development Program of Shaanxi (2019ZDLGY12-04, 2020ZDLGY09-06), China Postdoctoral Science Foundation (2018 M640962), Natural Science Foundation of Guangxi Province (2019GXNSFBA245049), Fundamental Research Funds for the Central Universities, Innovation Fund of Xidian University.

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Authors and Affiliations

  1. School of Cyber Engineering, Xidian University, Xi’an, 710071, China

    Guichuan Zhao, Qi Jiang, Xiaohan Huang, Xindi Ma & Jianfeng Ma

  2. Network Communication Research Centre, Peng Cheng Laboratory, Shenzhen, 518055, China

    Qi Jiang

  3. Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, 541004, China

    Qi Jiang

  4. College of Computer Science and Technology, Guizhou University, Guiyang, 550025, China

    Youliang Tian

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  1. Guichuan Zhao
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  2. Qi Jiang
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  4. Xindi Ma
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Correspondence to Qi Jiang.

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Zhao, G., Jiang, Q., Huang, X. et al. Secure and Usable Handshake Based Pairing for Wrist-Worn Smart Devices on Different Users. Mobile Netw Appl 26, 2407–2422 (2021). https://doi.org/10.1007/s11036-021-01781-x

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