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Rewarding and Efficient Data Sharing in EHR System with Coalition Blockchain Assistance

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Wireless Algorithms, Systems, and Applications (WASA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12937))

Abstract

Internet of things is and will revolutionize our society and life tremendously. And data, generated by tons of IoT devices, is the foundation of all that. It is equatable to say that sharing enables data to play its due value and even makes it more valuable. While it is impractical for data owners to share for free, especially in terms of electronic health records (EHR) contain private information. Many data sharing schemes were proposed and very few of them can fulfil efficient sharing and fair payment simultaneously. One vital issue to achieve fair payment is how to verify the effectiveness of participants’ behaviours, such as the integrity of data stored in the third-party server. Furthermore, in most existed data sharing systems, each access is authorized by the data owner, which requires the data owner to be online in real time and leads to too many interactions and high overlheads. In this paper, we design a blockchain-assisted data sharing scheme by combining the attribute-based encryption (ABE) primitive. Our scheme achieves efficient one-to-many data sharing, fine-grained access control, efficient decryption, user-level revocation, fairness payment and reliable data integrity verification.

This work was partially supported by NSF of China under Grants 61832012, 61672321, 61771289 and 61373027, and the Science, Education and Industry Integration Innovation Program of Qilu University of Technology (Shandong Academy of Science) under Grant 2020KJC-ZD02.

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Author information

Authors and Affiliations

  1. School of Computer Science, Qufu Normal University, Rizhao, China

    Suhui Liu & Jiguo Yu

  2. School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

    Jiguo Yu

  3. Shandong Laboratory of Computer Networks, Jinan, China

    Jiguo Yu

  4. School of Cyber Science and Engineering, Southeast University, Nanjing, China

    Liquan Chen

  5. Purple Mountain Laboratories for Network and Communication Security, Nanjing, China

    Liquan Chen

Authors
  1. Suhui Liu
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  2. Jiguo Yu
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  3. Liquan Chen
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Corresponding author

Correspondence to Jiguo Yu .

Editor information

Editors and Affiliations

  1. Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Zhe Liu

  2. Shanghai Jiao Tong University, Shanghai, China

    Fan Wu

  3. Missouri University of Science and Technology, Rolla, MO, USA

    Sajal K. Das

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Liu, S., Yu, J., Chen, L. (2021). Rewarding and Efficient Data Sharing in EHR System with Coalition Blockchain Assistance. In: Liu, Z., Wu, F., Das, S.K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2021. Lecture Notes in Computer Science(), vol 12937. Springer, Cham. https://doi.org/10.1007/978-3-030-85928-2_8

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  • DOI: https://doi.org/10.1007/978-3-030-85928-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85927-5

  • Online ISBN: 978-3-030-85928-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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