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BDDT: use blockchain to facilitate IoT data transactions

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Abstract

With the rapid development of Internet of Things (IoT), more and more devices are connected to IoT, leading to an exponential increase in IoT data. However, two problems stand in the way of the further development of IoT. First, IoT data is uploaded directly to the cloud, and the service provider obtains huge profits by analyzing IoT data. However, users can't get benefits, and they have to bear the risk of privacy leakage. Second, centralized storage limits data sharing, which can slow the development of IoT. To solve these problems, this paper proposes an architecture of Blockchain-based Distributed IoT Data Transaction (BDDT). In our proposed BDDT system, users can get benefits by selling their own data, and the service providers buy users’ data to gain access. Furthermore, all operations of IoT data transactions are recorded in blockchain. It ensures the traceability and irreversible modification of data transactions. Final, the experimental results prove that the BDDT system has a good performance and excellent safety.

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Acknowledgement

This research is partially supported by the National Natural Science Foundation of China (61571098), Fundamental Research Funds for the Central Universities (ZYGX2016J217), the 111 Project (B14039), Project on Public Safety Risk Prevention and Control and Emergency Technical Equipment (2018YFC0831002), Sichuan science and technology program (2019YFG0206).

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Authors and Affiliations

  1. Key Lab of Optical Fiber Sensing and Communications (Ministry of Education), University of Electronic Science and Technology of China, Chengdu, China

    Hui Li, Lishuang Pei, Dan Liao, Xiong Wang, Du Xu & Jian Sun

  2. Chengdu Research Institute, University of Electronic Science and Technology of China, Chengdu, China

    Hui Li & Dan Liao

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  1. Hui Li
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  2. Lishuang Pei
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  3. Dan Liao
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  4. Xiong Wang
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  5. Du Xu
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Correspondence to Dan Liao.

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Li, H., Pei, L., Liao, D. et al. BDDT: use blockchain to facilitate IoT data transactions. Cluster Comput 24, 459–473 (2021). https://doi.org/10.1007/s10586-020-03119-w

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