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Security Analysis on Gait-Based Biometric Fuzzy Commitment Scheme Using Smartphone

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Abstract

Gait-based biometric systems using smart phones have been developed to replace traditional authentication. It is significantly important to improve the security of the gait-based biometric systems. Systems include both fields of cryptography which provides high security levels of data and gait- based biometrics without need to remember passwords. Fuzzy Commitment Scheme (FCS) is considered as a famous approach to protect the user’s data. However, these gait-based biometric systems are hampered by the lack of formal security analysis to prove the security strength and effectiveness. Therefore, this paper gives a comprehensive analysis evaluation on security of fuzzy commitment and proposes a framework of gait-based biometric fuzzy commitment scheme using smart phones. The evaluation results show that a significant security strength resistant to different attacks.

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Acknowledgment

This research project was supported by grant no. JAT170325 from Fujian Provincial Education Department Project of China and grant no. 2018J01537 from Fujian natural foundation project.

The author wants to thank the UCI Machine Language Repository and especially the researchers who kept the records and developed the Human Activity Recognition Using Smart Phones Data Set.

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Authors and Affiliations

  1. JiMei University, Xiamen, 361021, Fujian, China

    Zhang Min

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  1. Zhang Min
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Correspondence to Zhang Min .

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Editors and Affiliations

  1. Department of Electrical, Computer, Software, and Systems Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA

    Houbing Song

  2. School of Astronautics Aeronautics, UESTC, Chengdu, China

    Dingde Jiang

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Min, Z. (2019). Security Analysis on Gait-Based Biometric Fuzzy Commitment Scheme Using Smartphone. In: Song, H., Jiang, D. (eds) Simulation Tools and Techniques. SIMUtools 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 295. Springer, Cham. https://doi.org/10.1007/978-3-030-32216-8_34

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  • DOI: https://doi.org/10.1007/978-3-030-32216-8_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32215-1

  • Online ISBN: 978-3-030-32216-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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