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APHC: Auditable and Privacy Preserving Health QR Code Based on Blockchain

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Emerging Information Security and Applications (EISA 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1403))

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Abstract

The outbreak of COVID-19 has brought great pain to people around the world. As the epidemic continuing, prevention and control measures become particularly important. Then, the health QR code has been designed to tracing and controlling the epidemic. Through the health code, the confirmed cases and close contacts will be traced quickly. However, the health code records a great deal of residents’ privacy information and if it is leaked, the consequences will be severe. Although some existing health code schemes preserve the privacy, but most of them either do not support fine-grained auditability or are centralized health code storage. Therefore, we propose an auditable and privacy-preserving health QR code scheme based on blockchain.

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Author information

Authors and Affiliations

  1. Central China Normal University, Wuhan, China

    Pujie Jing, Shixiong Yao & Yueyue He

  2. Key Laboratory of Aerospace Information Security and Trust Computing (Wuhan University), Ministry of Education, Wuhan, 430072, China

    Shixiong Yao

Authors
  1. Pujie Jing
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  2. Shixiong Yao
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  3. Yueyue He
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Corresponding author

Correspondence to Shixiong Yao .

Editor information

Editors and Affiliations

  1. Technical University of Denmark, Kongens Lyngby, Denmark

    Weizhi Meng

  2. Norwegian University of Science and Technology, Gjøvik, Norway

    Sokratis K. Katsikas

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Jing, P., Yao, S., He, Y. (2022). APHC: Auditable and Privacy Preserving Health QR Code Based on Blockchain. In: Meng, W., Katsikas, S.K. (eds) Emerging Information Security and Applications. EISA 2021. Communications in Computer and Information Science, vol 1403. Springer, Cham. https://doi.org/10.1007/978-3-030-93956-4_3

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  • DOI: https://doi.org/10.1007/978-3-030-93956-4_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-93955-7

  • Online ISBN: 978-3-030-93956-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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