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International Conference on Wireless Algorithms, Systems, and Applications

WASA 2021: Wireless Algorithms, Systems, and Applications pp 135–146Cite as

RF-Ubia: User Biometric Information Authentication Based on RFID

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12938))

Abstract

Traditional authentication technologies usually perform identity authentication based on user information verification (e.g., inputting the password) or biometric information (e.g., fingerprints) for identity authentication. However, there are security risks when these authentication methods are applied solely. For example, if the password is compromised, it is unlikely to determine whether the user is legitimate based on the password. In this paper, we propose RF-Ubia, which combines user information and biometric features to double guarantee the security of identity authentication. The RF-Ubia is a user identification system composed of an array of nine passive tags and a commercial RFID reader, which firstly verifies the user’s password, and then identifies the biometric characteristics of the legitimate user. Due to the coupling effect among tags, any tag signal change caused by the user’s touch operation will affect other tag signals at the same time. Since each user has different fingertip impedance, their touch will cause a unique change of tag signal. Therefore, by combining biometric information, the tag array will uniquely identify users. Evaluations results show that RF-Ubia achieves excellent authentication performance with an average recognition rate of 92.8\({\%}\).

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Acknowledgement

This work was supported by in part by the National Natural Science Foundation of China (Grant Nos. 61772559, 61602167), the Hunan Provincial Natural Science Foundation of China under grant No. 2020JJ3016. Dr. Xuan Liu’s work is partially supported by the National Defense Science and Technology Innovation Special Zone Project of China.

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Authors and Affiliations

  1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410000, China

    Ningwei Peng & Xuan Liu

  2. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China

    Xuan Liu

  3. School of Computer Science, Central South University, Changsha, 410000, China

    Shigeng Zhang

Authors
  1. Ningwei Peng
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  2. Xuan Liu
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  3. Shigeng Zhang
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Corresponding author

Correspondence to Xuan Liu .

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Editors and Affiliations

  1. Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Zhe Liu

  2. Shanghai Jiao Tong University, Shanghai, China

    Fan Wu

  3. Missouri University of Science and Technology, Rolla, MO, USA

    Sajal K. Das

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Peng, N., Liu, X., Zhang, S. (2021). RF-Ubia: User Biometric Information Authentication Based on RFID. In: Liu, Z., Wu, F., Das, S.K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2021. Lecture Notes in Computer Science(), vol 12938. Springer, Cham. https://doi.org/10.1007/978-3-030-86130-8_11

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  • DOI: https://doi.org/10.1007/978-3-030-86130-8_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86129-2

  • Online ISBN: 978-3-030-86130-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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