Abstract
Crowdsensed Data Trading (CDT) is a novel data trading paradigm, in which each data consumer can publicize its demand as some crowdsensing tasks, and some mobile users can compete for these tasks, collect the corresponding data, and sell the results to the consumers. Existing CDT systems either depend on a trusted data trading broker or cannot ensure sellers to report costs honestly. To address this problem, we propose a Reverse-Auction-and-blockchain-based crowdsensed Data Trading (RADT) system, mainly containing a smart contract, called RADToken. We adopt a greedy strategy to determine winners, and prove the truthfulness and individual rationality of the whole reverse auction process. Moreover, we exploit the smart contract with a series of devises to enforce mutually untrusted parties to participate in the data trading honestly. Additionally, we also deploy RADToken on an Ethereum test network to demonstrate its significant performances. To the best of our knowledge, this is the first CDT work that exploits both auction and blockchain to ensure the truthfulness of the whole data trading process.
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Acknowledgment
This research was supported in part by National Natural Science Foundation of China (NSFC) (Grant No. 61872330, 61572336, 61572457, 61632016, 61379132, U1709217), Natural Science Foundation of Jiangsu Province in China (Grant No. BK20131174, BK2009150), Anhui Initiative in Quantum Information Technologies (Grant No. AHY150300), and Natural Science Research Project of Jiangsu Higher Education Institution (No. 18KJA520010).
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An, B., Xiao, M., Liu, A., Gao, G., Zhao, H. (2019). Truthful Crowdsensed Data Trading Based on Reverse Auction and Blockchain. In: Li, G., Yang, J., Gama, J., Natwichai, J., Tong, Y. (eds) Database Systems for Advanced Applications. DASFAA 2019. Lecture Notes in Computer Science(), vol 11446. Springer, Cham. https://doi.org/10.1007/978-3-030-18576-3_18
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