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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Duan, Z., Li, W., Cai, Z.: Distributed auctions for task assignment and scheduling in mobile crowdsensing systems. In: 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), pp. 635–644 (2017)
Duan, Z., Li, W., Zheng, X., Cai, Z.: Mutual-preference driven truthful auction mechanism in mobile crowdsensing. In: 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), pp. 1233–1242 (2019)
Cai, Z., Duan, Z., Li, W.: Exploiting multi-dimensional task diversity in distributed auctions for mobile crowdsensing. IEEE Trans. Mob. Comput. 20(8), 2576–2591 (2021)
Han, S., et al.: Location privacy-preserving distance computation for spatial crowdsourcing. IEEE Internet Things J. 7(8), 7550–7563 (2020)
Chunqiang, H., Cheng, X., Tian, Z., Yu, J., Lv, W.: Achieving privacy preservation and billing via delayed information release. IEEE/ACM Trans. Netw. 29(3), 1376–1390 (2021)
Song, D.X., Wagner, D.A., Perrig, A.: Practical techniques for searches on encrypted data, pp. 44–55 (2000)
Wang, C., Cao, N., Li, J., Ren, K., Lou, W.: Secure ranked keyword search over encrypted cloud data, pp. 253–262 (2010)
Yiming, W., Tang, S., Zhao, B., Peng, Z.: BPTM: blockchain-based privacy-preserving task matching in crowdsourcing. IEEE Access 7, 45605–45617 (2019)
Bitcoin: A peer-to-peer electronic cash system. Social Science Electronic Publishing
Zhu, S., Li, W., Li, H., Tian, L., Luo, G., Cai, Z.: Coin hopping attack in blockchain-based IoT. IEEE Internet Things J. 6(3), 4614–4626 (2019)
Yuwen, P., Chunqiang, H., Deng, S., Alrawais, A.: R\({^2}\)PEDS: a recoverable and revocable privacy-preserving edge data sharing scheme. IEEE Internet Things J. 7(9), 8077–8089 (2020)
To, H., Ghinita, G., Fan, L., Shahabi, C.: Differentially private location protection for worker datasets in spatial crowdsourcing. IEEE Trans. Mob. Comput. 16(4), 934–949 (2017)
Jie, X., Lin, Z., Jun, W.: Privacy-preserving task-matching and multiple-submissions detection in crowdsourcing. Sensors 21(9), 3036 (2021)
Boneh, D., Crescenzo, G.D., Ostrovsky, R., Persiano, G.: Public key encryption with keyword search. IACR Cryptology ePrint Archive, p. 195 (2003)
Kiayias, A., Oksuz, O., Russell, A., Tang, Q., Wang, B.: Efficient encrypted keyword search for multi-user data sharing. In: Askoxylakis, I., Ioannidis, S., Katsikas, S., Meadows, C. (eds.) ESORICS 2016. LNCS, vol. 9878, pp. 173–195. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-45744-4_9
Shu, J., Yang, K., Jia, X., Liu, X., Wang, C., Deng, R.H.: Proxy-free privacy-preserving task matching with efficient revocation in crowdsourcing. IEEE Trans. Dependable Secur. Comput. 18(1), 117–130 (2021)
Shu, J., Liu, X., Jia, X., Yang, K., Deng, R.H.: Anonymous privacy-preserving task matching in crowdsourcing. IEEE Internet Things J. 5(4), 3068–3078 (2018)
Zhu, S., Cai, Z., Huafu, H., Li, Y., Li, W.: zkCrowd: a hybrid blockchain-based crowdsourcing platform. IEEE Trans. Industr. Inf. 16(6), 4196–4205 (2020)
Chen Zhang, Yu., Guo, X.J., Wang, C., Hongwei, D.: Enabling proxy-free privacy-preserving and federated crowdsourcing by using blockchain. IEEE Internet Things J. 8(8), 6624–6636 (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-031-19214-2_43
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-19213-5
Online ISBN: 978-3-031-19214-2
eBook Packages: Computer ScienceComputer Science (R0)