Type
ArticleKAUST Department
Computer Science ProgramComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Machine Intelligence & kNowledge Engineering Lab
Date
2021Permanent link to this record
http://hdl.handle.net/10754/670754
Metadata
Show full item recordAbstract
Crowdsensed Data Trading (CDT) is a novel data trading paradigm, where each data consumer can publicize its data demand as some crowdsensing tasks, and some mobile users (i.e., data sellers) can compete for these tasks, collect the corresponding data, and sell the results to the consumers. Existing CDT systems generally depend on a data trading broker, which will inevitably cause consumers concerns on the trustworthiness of the systems and truthfulness of the data. To address this problem, we propose a Blockchain-based Crowdsensed Data Trading (BCDT) system, mainly containing a smart contract, called BCDToken. First, we replace the broker with blockchain to guarantee the trustworthiness of data trading. Meanwhile, BCDToken adopts Blockchain-based Reverse Auction (BRA) to assign tasks to data sellers. BRA holds truthfulness and individual rationality, which can ensure the sellers to report costs honestly and prevent sellers to manipulate the auction. Moreover, we implement a Secure Truth Discovery and reliability Rating (STDR) mechanism in BCDToken based on homomorphic cryptography, which can incentivize sellers to upload the truthful data and consumers to rate truthfully the reliabilities of sellers without revealing any privacy of data. Additionally, we also deploy BCDToken to the test network to demonstrate its practicability.Citation
An, B., Xiao, M., Liu, A., Xu, Y., Zhang, X., & Li, Q. (2021). Secure Crowdsensed Data Trading Based on Blockchain. IEEE Transactions on Mobile Computing, 1–1. doi:10.1109/tmc.2021.3107187Publisher
IEEEAdditional Links
https://ieeexplore.ieee.org/document/9521727/https://ieeexplore.ieee.org/document/9521727/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9521727
ae974a485f413a2113503eed53cd6c53
10.1109/TMC.2021.3107187