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Secure Sharing Sensitive Data Based on Network Coding and Attribute-Based Encryption

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Smart Grid and Internet of Things (SGIoT 2020)

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Abstract

The security of sharing sensitive information through a distributed information storage and sharing platform is required strictly in many situations. In this paper, we present a novel approach with the aim of increasing security of sharing sensitive information. The model improves security by exploiting Attribute-Based Encryption. In addition, we incorporate network coding to our model to improve the efficiency of transmitting information.

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Acknowledgements

This work is supported by the National Key R&D Program of China under Grant 2018YFC0831300, China Postdoctoral Science Foundation under Grant 2018M641172, the National Natural Science Foundation of China under Grant 61701019.

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044, China

    Zhiqiang Xu

  2. Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing, China

    Bo Shen & Zhiyuan Zhang

Authors
  1. Zhiqiang Xu
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  2. Bo Shen
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  3. Zhiyuan Zhang
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Corresponding author

Correspondence to Zhiqiang Xu .

Editor information

Editors and Affiliations

  1. National Chiao Tung University, Hsinchu, Taiwan

    Yi-Bing Lin

  2. National Changhua University of Education, Changhua, Taiwan

    Der-Jiunn Deng

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Xu, Z., Shen, B., Zhang, Z. (2021). Secure Sharing Sensitive Data Based on Network Coding and Attribute-Based Encryption. In: Lin, YB., Deng, DJ. (eds) Smart Grid and Internet of Things. SGIoT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 354. Springer, Cham. https://doi.org/10.1007/978-3-030-69514-9_9

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  • DOI: https://doi.org/10.1007/978-3-030-69514-9_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69513-2

  • Online ISBN: 978-3-030-69514-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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