Blockchain-Empowered Big Data Sharing for Internet of Things

【Author】 Cai, Ting; Wu, Yuxin; Lin, Hui; Cai, Yu

【Source】INTERNATIONAL JOURNAL OF WEB SERVICES RESEARCH

【影响因子】0.771

【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 multiparty 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.

【Keywords】Blockchain; Data Sharing; Incentive Mechanism; IoT

【发表时间】2021 JAN-MAR

【收录时间】2022-01-02

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