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A Certificateless Aggregate Signature Scheme Based on Blockchain for EMR

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Cyberspace Safety and Security (CSS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11982))

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Abstract

In this paper, a certificateless aggregate signature scheme for blockchain- based electronic medical record (EMR) is proposed, which has the characteristics of decentralization, security, credibility and tamper-proof. Performance analysis shows that the proposed scheme has constant communication cost and low computational cost. This scheme can be utilized to tackle difficult problems in regard to identity authentication in EMR. It can also preserve the integrity of EMR data.

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Acknowledgments

This research is supported by the National Natural Science Foundation of China (nos. 61572036, 61672039 and 61801004); the Natural Science Foundation of Anhui Province (no. 1808085QF211); the Natural Science Foundation of Universities of Anhui Province (nos. KJ2019A0702, KJ2019A0704).

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Authors and Affiliations

  1. Anhui Normal University, Wuhu, 241002, Anhui, China

    Hong Shu, Fulong Chen & Dong Xie

  2. Anhui Provincial Key Lab of Network and Information Security, Wuhu, 241002, Anhui, China

    Hong Shu, Fulong Chen & Dong Xie

  3. Tongling University, Tongling, 244061, Anhui, China

    Hong Shu, Ping Qi & Yongqing Huang

  4. Institute of Information Technology & Engineering Management, Tongling University, Tongling, 244061, China

    Yongqing Huang

Authors
  1. Hong Shu
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  2. Fulong Chen
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  3. Dong Xie
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  4. Ping Qi
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  5. Yongqing Huang
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Corresponding author

Correspondence to Fulong Chen .

Editor information

Editors and Affiliations

  1. Rutgers University, Newark, NJ, USA

    Jaideep Vaidya

  2. Beihang University, Beijing, China

    Xiao Zhang

  3. Guangzhou University, Guangzhou, China

    Jin Li

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Shu, H., Chen, F., Xie, D., Qi, P., Huang, Y. (2019). A Certificateless Aggregate Signature Scheme Based on Blockchain for EMR. In: Vaidya, J., Zhang, X., Li, J. (eds) Cyberspace Safety and Security. CSS 2019. Lecture Notes in Computer Science(), vol 11982. Springer, Cham. https://doi.org/10.1007/978-3-030-37337-5_35

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  • DOI: https://doi.org/10.1007/978-3-030-37337-5_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37336-8

  • Online ISBN: 978-3-030-37337-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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