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Chinese Conference on Biometric Recognition

CCBR 2018: Biometric Recognition pp 459–467Cite as

Research on Security of Public Security Iris Application

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Part of the Lecture Notes in Computer Science book series (LNIP,volume 10996)

Abstract

Combined with the security problems encountered in the public security iris application, this paper makes a comprehensive analysis of these security problems from two aspects of iris acquisition and iris verification. And using the current academic research results, combined with the practical application requirements, the iris template encryption, the original image encryption, transmission encryption, equipment authentication and other technical means are used to construct the security system of the public security iris application and ensure the public security iris application in an all-round way. Finally, the application of the research results in actual use is introduced.

Keywords

  • Public security
  • Iris application
  • Security threat
  • Iris verification
  • Hash value

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Acknowledgment

This work was supported by Beijing Municipal Science and Technology Project: Z171100004417022, Science and Technology Project of the Ministry of Public Security: 2017GABJC35.

Author information

Authors and Affiliations

  1. First Research Institute of the Ministry of Public Security of PRC, Beijing, 100048, China

    Li Li, Shengguang Li, Shiwei Zhao & Lin Tan

  2. Key Laboratory of Internet of Things Application Technology of the Ministry of Public Security of PRC, Beijing, 100048, China

    Li Li, Shengguang Li, Shiwei Zhao & Lin Tan

Authors
  1. Li Li
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  2. Shengguang Li
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  3. Shiwei Zhao
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  4. Lin Tan
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Corresponding author

Correspondence to Li Li .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Prof. Jie Zhou

  2. Beihang University, Beijing, China

    Yunhong Wang

  3. Chinese Academy of Sciences, Beijing, China

    Prof. Zhenan Sun

  4. Xinjiang University, Urumqi, China

    Zhenhong Jia

  5. Tsinghua University, Beijing, China

    Dr. Jianjiang Feng

  6. Chinese Academy of Sciences, Beijing, China

    Shiguang Shan

  7. Xinjiang University, Urumqi, China

    Kurban Ubul

  8. Tsinghua University, Shenzhen, China

    Prof. Dr. Zhenhua Guo

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Cite this paper

Li, L., Li, S., Zhao, S., Tan, L. (2018). Research on Security of Public Security Iris Application. In: Zhou, J., et al. Biometric Recognition. CCBR 2018. Lecture Notes in Computer Science(), vol 10996. Springer, Cham. https://doi.org/10.1007/978-3-319-97909-0_49

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  • DOI: https://doi.org/10.1007/978-3-319-97909-0_49

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97908-3

  • Online ISBN: 978-3-319-97909-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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