BFCRI: A Blockchain-Based Framework for Crowdsourcing With Reputation and Incentive

被引:10
作者
Fu, Shaojing [1 ]
Huang, XueLun [1 ]
Liu, Lin [1 ]
Luo, Yuchuan [1 ]
机构
[1] Natl Univ Def Technol, Coll Comp, Changsha 410073, Hunan, Peoples R China
关键词
Task analysis; Contracts; Crowdsourcing; Blockchains; Peer-to-peer computing; Reliability; Cloud computing; Blockchain; contract theory; crowdsourcing; incentive mechanism; reputation; MECHANISM; OPTIMIZATION; NETWORKS;
D O I
10.1109/TCC.2022.3190275
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the rapid development of cloud computing and the sharing economy, crowdsourcing aroused widespread interest and adoption in providing intelligent and efficient services for humans. The majority of existing works focus on effective crowdsourcing task assignment and privacy protection, mostly relying on central servers and assuming that participants are honest- and-curious and proactive. However, in reality, workers may be unwilling to participate, and there may be malicious behavior among participants, thus harming the enthusiasm and interests of other participants. The central server has weaknesses such as single point of failure. To address above problems, we propose a blockchain-based framework for crowdsourcing with reputation and incentive. We first design a worker selection scheme to select credible and capable workers. We leverage reputation as a metric of workers' credibility, which is calculated through the improved subjective logic model. Then we utilize contract theory to design incentive mechanisms to attract more workers, especially high-quality workers to participate. Experimental results show that our proposed method can detect and prevent malicious participants and resist malicious collusion when the proportion of malicious participants is no more than 1/3. And encourage more workers to actively, honestly and continuously participate in crowdsourcing.
引用
收藏
页码:2158 / 2174
页数:17
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