Blockchain-Empowered Big Data Sharing for Internet of Things

Ting Cai, Yuxin Wu, Hui Lin and Yu Cai
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Ting Cai: Sun Yat-sen University, China
Yuxin Wu: Guangdong Baiyun University, China
Hui Lin: Sun Yat-sen University, China
Yu Cai: Chongqing University of Posts and Telecom, China

International Journal of Web Services Research (IJWSR), 2021, vol. 18, issue 1, 58-69

Abstract: A recent study predicts that by 2025, up to 75 billion internet of things (IoT) devices will be connected to the internet, in which data sharing is increasingly needed by massive IoT applications as a major driver of the IoT market. However, how to meet the interests of all participants in complex multi-party interactive data sharing while providing secure data control and management is the main challenge in building an IoT data sharing ecosystem. In this article, the authors propose a blockchain-empowered data sharing architecture that supports secure data monitoring and manageability in complex multi-party interactions of IoT systems. First, to build trust among different data sharing parties, the authors apply blockchain technologies to IoT data sharing. In particular, on-chain/off-chain collaboration and sharding consensus process are used to improve the efficiency and scalability of the large-scale blockchain-empowered data sharing systems. In order to encourage IoT parties to actively participate in the construction of shared ecology, the authors use an iterative double auction mechanism in the proposed architecture to maximize the social welfare of all parties as a case-study. Finally, simulation results show that the proposed incentive algorithm can optimize data allocations for each party and maximize the social welfare while protecting the privacy of all parties.

Date: 2021
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