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Volume 33 Issue 3
May  2018
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Bao-Kun Zheng, Lie-Huang Zhu, Meng Shen, Feng Gao, Chuan Zhang, Yan-Dong Li, Jing Yang. Scalable and Privacy-Preserving Data Sharing Based on Blockchain[J]. Journal of Computer Science and Technology, 2018, 33(3): 557-567. DOI: 10.1007/s11390-018-1840-5
Citation: Bao-Kun Zheng, Lie-Huang Zhu, Meng Shen, Feng Gao, Chuan Zhang, Yan-Dong Li, Jing Yang. Scalable and Privacy-Preserving Data Sharing Based on Blockchain[J]. Journal of Computer Science and Technology, 2018, 33(3): 557-567. DOI: 10.1007/s11390-018-1840-5
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Scalable and Privacy-Preserving Data Sharing Based on Blockchain

  • 1 School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China;
    2 School of Information Management for Law, China University of Political Science and Law, Beijing 102249, China

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  • Author Bio:

    Bao-Kun Zheng received his M.S. degree in computer science from the School of Information, Renmin University of China, Beijing, in 2010. He is currently a Ph.D. candidate at the School of Computer Science and Technology, Beijing Institute of Technology, Beijing, and an associate professor at the School of Information Management for Law, China University of Political Science and Law, Beijing. His research interests include blockchain, network and information security.

  • Corresponding author:

    Meng Shen E-mail: shenmeng@bit.edu.cn

  • Received Date: November 19, 2017
  • Revised Date: March 27, 2018
  • Published Date: May 04, 2018
    Abstract
  • With the development of network technology and cloud computing, data sharing is becoming increasingly popular, and many scholars have conducted in-depth research to promote its flourish. As the scale of data sharing expands, its privacy protection has become a hot issue in research. Moreover, in data sharing, the data is usually maintained in multiple parties, which brings new challenges to protect the privacy of these multi-party data. In this paper, we propose a trusted data sharing scheme using blockchain. We use blockchain to prevent the shared data from being tampered with, and use the Paillier cryptosystem to realize the confidentiality of the shared data. In the proposed scheme, the shared data can be traded, and the transaction information is protected by using the (p, t)-threshold Paillier cryptosystem. We conduct experiments in cloud storage scenarios and the experimental results demonstrate the efficiency and effectiveness of the proposed scheme.
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    • References (22)
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