Concurrent and efficient IoT data trading based on probabilistic micropayments

【Author】 Li, Tao; Yang, Anjia; Weng, Jian; Tong, Yao; Pei, Qingfu

【Source】WIRELESS NETWORKS

【影响因子】2.701

【Abstract】Data trading in the Internet of Things (IoT) based on off-chain payment has attracted a lot of attention recently since it can significantly improve transaction throughput and reduce transaction fees compared with traditional blockchain-based solutions that trade data only with on-chain transactions. However, the vulnerability of off-chain payment protocols to griefing attacks and their requirement for multiple rounds of off-chain interactions among participants limit their adoption to IoT data trading. In this paper, we propose a new concurrent, secure and efficient IoT data trading scheme based on probabilistic micropayment. Particularly, the data buyer makes a deposit on the blockchain, based on which he issues a number of lotteries to multiple data owners through off-chain channel. These lotteries will be drawn according to a newly designed probabilistic payment algorithm. With this design, the data buyer only needs to make one deposit to concurrently trade with multiple data owners, which can mitigate griefing attacks and further reduce transaction fees. In addition, we have introduced an off-chain committee and carefully designed a smart contract to ensure the security of off-chain transactions meanwhile eliminating the interaction of data owners, making the scheme more suitable for large-scale IoT data trading scenarios. Finally, we deploy the scheme in local environment as well as on the public test chain of Ethereum and conduct a series of experiments to confirm its efficiency and effectiveness.

【Keywords】Blockchain; Concurrent probabilistic micropayments; Internet of things; Data trading

【发表时间】

【收录时间】2022-10-28

【文献类型】实验仿真

【主题类别】

区块链技术-协同技术-物联网