基于承诺方案的去中心化可信众包平台设计与实现

doi:10.3969/j.issn.0255-8297.2023.01.011

Abstract

Abstract: In order to remove the dependence of traditional crowdsourcing on third-party central institutions, and at the same time ensure the fair distribution of crowdsourcing tasks and credible submission of results, a design scheme of trusted crowdsourcing platform based on blockchain smart contracts is proposed. First, a commitment-based two-stage submission mechanism is proposed and applied to the data submission process of recipients to solve the data transparency problem on the blockchain, so that the recipients cannot steal data from each other. Second, an unbiased random selection algorithm is designed to select relatively independent receivers from scattered receiver pools, preventing possible collusion among receivers. Finally, the randomness of the selection algorithm and the feasibility of the overall scheme are verified through selection simulation experiment and the implementation of the prototype system on Ethereum.

Key words: blockchain, crowdsourcing, smart contract, task assignment, commitment scheme

CLC Number:

TP311.13

WANG Huajian, LI Renwei, ZHOU Huan, YANG Guogui. Design and Implementation of Decentralized Trusted Crowdsourcing Platform Based on Commitment Scheme[J]. Journal of Applied Sciences, 2023, 41(1): 141-152.

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

URL: https://www.jas.shu.edu.cn/EN/10.3969/j.issn.0255-8297.2023.01.011

https://www.jas.shu.edu.cn/EN/Y2023/V41/I1/141

[1] Howe J. The rise of crowdsourcing[J]. Wired Magazine, 2006, 14(6):1-4.
[2] Nakamoto S. Bitcoin:a peer-to-peer electronic cash system[R/OL]. (2008-10-31)[2021-09-06]. https://www.debr.io/article/21260-bitcoin-a-peer-to-peer-electronic-cash-system.
[3] Buterin V. A next-generation smart contract and decentralized application platform[R]. White Paper, 2014[2021-09-06].
[4] Fu X, Wang H, Shi P. A survey of blockchain consensus algorithms:mechanism, design and applications[J]. Science China (Information Sciences), 2021, 64(2):1-15.
[5] Pedersen T P. Non-interactive and information-theoretic secure verifiable secret sharing[C]//Annual International Cryptology Conference. Berlin, Heidelberg:Springer, 1991:129-140.
[6] Zhou H, Ouyang X, Ren Z, et al. A blockchain based witness model for trustworthy cloud service level agreement enforcement[C]//IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 2019:1567-1575.
[7] Zhu B, Zhu S, Liu X, et al. A novel location privacy preserving scheme for spatial crowdsourcing[C]//20166th International Conference on Electronics Information and Emergency Communication, 2016:34-37.
[8] Zhang J H, Zhang Q J, Ji S L. A fog-assisted privacy-preserving task allocation in crowdsourcing[J]. IEEE Internet of Things Journal, 2020, 7(9):8331-8342.
[9] Yu X, Li G, Zheng Y, et al. Crowdota:an online task assignment system in crowdsourcing[C]//2018 IEEE 34th International Conference on Data Engineering, 2018:1629-1632.
[10] Chen X. A stable task assignment scheme in crowdsourcing[C]//2019 IEEE International Conference on Computational Science and Engineering and IEEE International Conference on Embedded and Ubiquitous Computing, 2019:489-494.
[11] Yin X Y, Chen Y J, Xu C, et al. Matchmaker:stable task assignment with bounded constraints for crowdsourcing platforms[J]. IEEE Internet of Things Journal, 2021, 8(3):1599-1610.
[12] Wu Y, Tang S, Zhao B, et al. BPTM:blockchain-based privacy-preserving task matching in crowdsourcing[J]. IEEE Access, 2019, 7:45605-45617.
[13] Gao L P, Cheng T, Gao L. TSWcrowd:a decentralized task-select-worker framework on blockchain for spatial crowdsourcing[J]. IEEE Access, 2020, 8:220682-220691.
[14] Wu C, Luo T, Wu F, et al. An endorsement-based reputation system for trustworthy crowdsourcing[C]//2015 IEEE Conference on Computer Communications Workshops, 2015:89-90.
[15] Yu Y, Liu S M, Guo L, et al. CrowdR-FBC:a distributed fog-blockchains for mobile crowdsourcing reputation management[J]. IEEE Internet of Things Journal, 2020, 7(9):8722-8735.
[16] Xie H, Lui J C S, Towsley D. Incentive and reputation mechanisms for online crowdsourcing systems[C]//2015 IEEE 23rd International Symposium on Quality of Service, 2015:207-212.
[17] Xie H, Lui J C S, Towsley D. Design and analysis of incentive and reputation mechanisms for online crowdsourcing systems[J]. ACM Transactions on Modeling and Performance Evaluation of Computing Systems, 2016, 1(3):1-27.
[18] Siddiki M R, Talha M A, Chowdhury F, et al. CrowdsouRS:a crowdsourced reputation system for identifying deceptive online contents[C]//201720th International Conference of Computer and Information Technology, 2017:1-6. DOI:10.1109/ICCITECHN.2017.8281829.
[19] Pang L, Li G, Yao X, et al. An incentive mechanism based on a Bayesian game for spatial crowdsourcing[J]. IEEE Access, 2019, 7:14340-14352.
[20] Ma X, Ma J, Li H, et al. RTRC:a reputation-based incentive game model for trustworthy crowdsourcing service[J]. China Communications, 2016, 13(12):199-215.
[21] Li M, Weng J, Yang A J, et al. CrowdBC:a blockchain-based decentralized framework for crowdsourcing[J]. IEEE Transactions on Parallel and Distributed Systems, 2019, 30(6):1251-1266.
[22] Han S, Xu Z, Zeng Y, et al. Fluid:a blockchain based framework for crowdsourcing[C]//Proceedings of 2019 International Conference on Management of Data, 2019:1921-1924.
[23] Zhang C, Guo Y, Du H, et al. PFcrowd:privacy-preserving and federated crowdsourcing framework by using blockchain[C]//2020 IEEE/ACM 28th International Symposium on Quality of Service, 2020:1-10.
[24] Sheng D, Xiao M, Liu A, et al. CPchain:a copyright-preserving crowdsourcing data trading framework based on blockchain[C]//202029th International Conference on Computer Communications and Networks, 2020:1-9.
[25] Guo Y, Xie H, Miao Y B, et al. Fedcrowd:a federated and privacy-preserving crowdsourcing platform on blockchain[J]. IEEE Transactions on Services Computing, 2022, 15(4):2060-2073.
[26] Lu Y, Tang Q, Wang G. Zebralancer:private and anonymous crowdsourcing system atop open blockchain[C]//2018 IEEE 38th International Conference on Distributed Computing Systems, 2018:853-865.
[27] Kadadha M, Mizouni R, Singh S, et al. ABCrowd an auction mechanism on blockchain for spatial crowdsourcing[J]. IEEE Access, 2020, 8:12745-12757.

Design and Implementation of Decentralized Trusted Crowdsourcing Platform Based on Commitment Scheme

Knowledge

Abstract

Cite this article

share this article

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	LI Shouwei, JIANG Yimin, ZHANG Jiazheng. Split-Chain Trading System Design for Multi-source Heterogeneous Data Assets [J]. Journal of Applied Sciences, 2026, 44(3): 465-485.
[2]	SI Xueming, MA Shuosen, YAO Zhongyuan. Multi-Dimensional Parallel Blockchain Suitable for IoT Environment [J]. Journal of Applied Sciences, 2026, 44(2): 282-296.
[3]	CHEN Qiangbin, YAO Zhongyuan, TIAN Hao, SI Xueming. BalChain: a Sharded Blockchain System Based on Reputation and Load [J]. Journal of Applied Sciences, 2025, 43(5): 863-876.
[4]	HE Xurong, FANG Youxuan, ZHENG Xuxiao, XIN Yanshuang. Research and Implementation of Cross Chain System Based on Oracle Component Technology [J]. Journal of Applied Sciences, 2025, 43(4): 630-642.
[5]	PAN Xuan, ZHANG Kangkang, CHENG Ao. A Blockchain-Based Precise Authorization Mechanism for Data Elements [J]. Journal of Applied Sciences, 2025, 43(4): 600-616.
[6]	ZHANG Zhuang, ZOU Yilin, LIN Zepeng, LIU Jiayuan, ZI Zongqing, TAN Liang, SHE Kun. Formal Definition and Instance Verification Analysis of General Blockchain Cross-Chain Transactions [J]. Journal of Applied Sciences, 2025, 43(4): 559-585.
[7]	LIU Lili, SHI Yijie, QIN Sujuan. Smart Contract Vulnerability Detection Technology Based on Machine Learning [J]. Journal of Applied Sciences, 2025, 43(4): 541-558.
[8]	LAN Yajie, MA Ziqiang, MIAO Li, HU Fusen. Image Digital Copyright Protection System Based on Blockchain [J]. Journal of Applied Sciences, 2025, 43(2): 315-333.
[9]	WANG Jiacheng, JIANG Jiajia, LI Dan, ZHANG Yushu. Correctness Verification for Interactive Smart Contracts at Runtime [J]. Journal of Applied Sciences, 2025, 43(2): 195-207.
[10]	FEI Jiajia, ZHAO Xiangfu, CHEN Xiaohan, ZHANG Dengji. Smart Contract Vulnerability Analysis and Improvement Based on Smartcheck [J]. Journal of Applied Sciences, 2024, 42(6): 1027-1039.
[11]	WANG Na, ZHU Huijuan, SONG Xiangmei, FENG Xia. A Domain Adaptive Security Analysis Framework for Smart Contracts [J]. Journal of Applied Sciences, 2024, 42(4): 585-597.
[12]	LIU Shaojie, ZHAO Hongbo, LIU Han. Trusted Blockchain Automation Protocol Based on Domain Programming Model [J]. Journal of Applied Sciences, 2024, 42(4): 569-584.
[13]	SHI Zhigang, HUANG Jianhua, LI Tianqi. A Blockchain Scheme for Vehicular Internet of Things [J]. Journal of Applied Sciences, 2024, 42(4): 549-568.
[14]	WU Meng, QI Yong. Auditable and Traceable Blockchain Privacy Protection Model under Zero-Knowledge Proof [J]. Journal of Applied Sciences, 2024, 42(4): 598-612.
[15]	XIA Xiaoliang, QIN Zhi, WAN Wunan, ZHANG Shibin, ZHANG Jinquan. Medical Data Classification Encryption Sharing Scheme Based on Blockchain [J]. Journal of Applied Sciences, 2024, 42(4): 613-628.