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An Efficient Autonomous Path Proxy Re-encryption Without Pairing for Cloud-Assisted mHealth

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Information Security and Cryptology (Inscrypt 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14527))

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Abstract

We propose the first construction of an efficient AP-PRE scheme without pairing for data confidentiality in the cloud-assisted Mobile Health (mHealth) system. In our scheme, the user can outsource his encrypted Personal Health Information (PHI) to the Cloud Service Provider (CSP) and share it with a list of doctors ordered in priority, where he has complete control over the transformation of the ciphertext. Based on the Modified Computational Diffie-Hellman (M-CDH) assumption, we prove the chosen-ciphertext security for our proposed scheme in the Random Oracle (RO) model. We demonstrate that our proposed AP-PRE scheme is highly efficient by comparing it with previous AP-PRE schemes based on bilinear pairing.

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References

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Acknowledgement

This work was supported in part by the National Key Research and Development Program of China under Grant 2022YFB2701400 and in part by the National Natural Science Foundation of China under Grant 62172161.

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Authors and Affiliations

  1. Zhejiang Lab, Hangzhou, 311121, Zhejiang, China

    Linghui Chen, Zhiguo Wan & Carvajal Roca Ivan Edmar

  2. Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai, 200062, China

    Jun Zhou

Authors
  1. Linghui Chen
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  2. Zhiguo Wan
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  3. Jun Zhou
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  4. Carvajal Roca Ivan Edmar
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Corresponding author

Correspondence to Jun Zhou .

Editor information

Editors and Affiliations

  1. Shandong University, Jinan, China

    Chunpeng Ge

  2. Columbia University, New York, NY, USA

    Moti Yung

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Chen, L., Wan, Z., Zhou, J., Edmar, C.R.I. (2024). An Efficient Autonomous Path Proxy Re-encryption Without Pairing for Cloud-Assisted mHealth. In: Ge, C., Yung, M. (eds) Information Security and Cryptology. Inscrypt 2023. Lecture Notes in Computer Science, vol 14527. Springer, Singapore. https://doi.org/10.1007/978-981-97-0945-8_28

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  • DOI: https://doi.org/10.1007/978-981-97-0945-8_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-0944-1

  • Online ISBN: 978-981-97-0945-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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