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Scalable and Privacy-Preserving Data Sharing Based on Blockchain
Authors:Bao-Kun Zheng  Lie-Huang Zhu  Meng Shen  Feng Gao  Chuan Zhang  Yan-Dong Li  Jing Yang
Affiliation:1.School of Computer Science and Technology,Beijing Institute of Technology,Beijing,China;2.School of Information Management for Law,China University of Political Science and Law,Beijing,China
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, 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.
Keywords:
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