Blockchain-Empowered Decentralized Framework for Secure and Efficient Software Crowdsourcing

Liu, Kang; Chen, Wuhui; Zhang, Zhen

doi:10.1109/services48979.2020.00039

Cited by 6 publications

(2 citation statements)

References 27 publications

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“…[5] designed a decentralized crowdsourcing system with reliability, fairness, security, and low services fee. Liu et al [8] proposed a system for blockchain-based software crowdsourcing. Yuan et al [9] using a blockchain-based crowdsourcing system to outsource computationally intensive tasks in machine learning.…”

Section: Introductionmentioning

confidence: 99%

Blockchain-based Multi-skill Mobile Crowdsourcing Services

Duan

Huang

et al. 2022

Preprint

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With the boom in 5G technology, mobile spatial crowdsourcing has shown great dynamism in industrial mobile communications and edge computing node management. But the traditional crowdsourcing system is not enough to adapt to the new environment. In traditional crowdsourcing, the crowdsourcing process is usually managed through a centralized crowdsourcing platform. The centralized crowdsourcing platform faces the following problems: 1) Single point of failure. 2) User privacy leakage. 3) Subjective arbitration. 4) Additional service fee. 5) The task assignment process is not transparent. To solve those problems, this paper uses a decentralized blockchain to replace the centralized crowdsourcing platform, thereby realizing a decentralized crowdsourcing system. And we analyzed the problems faced by multi-skilled spatial crowdsourcing tasks in the blockchain crowdsourcing system. In addition, a crowdsourcing task allocation algorithm is proposed, which realized the transparent task distribution process and adapts to the computing-constrained environment on the blockchain. Compared with the TSWCrowd blockchain-based crowdsourcing model, our system has a higher task allocation rate under the same conditions. And the experimental result shows our system has good economic feasibility, which decentralizes the crowdsourcing process and significantly reduces the additional consumption of the crowd-sourcing process.

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Section: Introductionmentioning

confidence: 99%

Blockchain-based Multi-skill Mobile Crowdsourcing Services

Duan

Huang

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Li et al [2] designed a decentralized crowdsourcing system with reliability, fairness, security, and low services fee. Liu et al [5] proposed a system for blockchain-based software crowdsourcing. Yuan et al [6] used a blockchain-based crowdsourcing system to outsource computationally intensive tasks in machine learning.…”

mentioning

confidence: 99%

Blockchain-based multi-skill mobile crowdsourcing services

Duan

Chen

et al. 2022

J Wireless Com Network

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With the boom in 5G technology, mobile spatial crowdsourcing has shown great dynamism in industrial mobile communications and edge computing node management. But the traditional crowdsourcing system is not advanced enough to adapt to the new environment. Typically, traditional crowdsourcing workflow is hosted by a centralized crowdsourcing platform. However, the centralized crowdsourcing platform faces the following problems: (1) single point of failure, (2) user privacy leakage, (3) subjective arbitration, (4) additional service fee, and (5) non-transparent task assignment process. To improve those problems, we replaced the centralized crowdsourcing platform with a decentralized blockchain infrastructure. And we analyzed the challenge problems of multi-skilled spatial crowdsourcing tasks in the blockchain crowdsourcing system. In addition, a crowdsourcing task allocation algorithm has been proposed, which implements a transparent task distribution process and can adapt to the computing-constrained environment on the blockchain. Compared with the TSWCrowd blockchain-based crowdsourcing model, our system has a higher task allocation rate under the same conditions. And the experimental result shows our work has good economic feasibility, which decentralizes the crowdsourcing process and significantly reduces the additional consumption of the crowdsourcing process.

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A Survey of Blockchain-Based Crowd Sensing Incentive Mechanism

Cheng

Liu

et al. 2022

Advances in Artificial Intelligence and Security

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Blockchain-Empowered Decentralized Framework for Secure and Efficient Software Crowdsourcing

Cited by 6 publications

References 27 publications

Blockchain-based Multi-skill Mobile Crowdsourcing Services

Blockchain-based Multi-skill Mobile Crowdsourcing Services

Blockchain-based multi-skill mobile crowdsourcing services

A Survey of Blockchain-Based Crowd Sensing Incentive Mechanism

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