Abstract
As crowdsourcing continues to evolve, researchers explored task matching in crowdsourcing extensively. However, the privacy issues such as task content of publishers and ability or interest of worker in task matching are often overlooked. Also, the identity of the task publisher/worker needs to be protected. To address the above issues, we propose a secure task matching scheme in crowdsourcing based on blockchain in this paper. Firstly, we implement multi-publisher/multi-worker task matching in the scheme while protecting task content privacy. Meanwhile, we take advantage of the immutability of the blockchain to ensure the reliability of publishing/matching results. We utilize the smart contract for task publishing/matching without human intervention. Finally, the scheme is shown to be secure and feasible through theoretical and comprehensive performance evaluations.
Supported by National Key Research and Development Project under grant 2020YFB1711900, and the National Natural Science Foundation of China under grant 62072065.
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Jiang, D., Chen, J., Hu, C., Lei, Y., Hu, H. (2022). A Secure Task Matching Scheme in Crowdsourcing Based on Blockchain. In: Wang, L., Segal, M., Chen, J., Qiu, T. (eds) Wireless Algorithms, Systems, and Applications. WASA 2022. Lecture Notes in Computer Science, vol 13472. Springer, Cham. https://doi.org/10.1007/978-3-031-19214-2_43
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DOI: https://doi.org/10.1007/978-3-031-19214-2_43
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