WQCrowd: Secure blockchain-based crowdsourcing framework with multi-tier worker quality evaluation
Crowdsourcing platforms play a crucial role in promoting transparency and collaborative engagement among participants while aiming to reduce resource consumption and costs. To achieve this, these platforms incorporate mechanisms for monitoring and evaluating worker quality performance. However, sign...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S131915782300397X |
| _version_ | 1797389547147886592 |
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| author | Seth Larweh Kodjiku Tao Han Yili Fang Esther Stacy E.B Aggrey Collins Sey Kwame O. Asamoah Linda Delali Fiasam Evans Aidoo Xun Wang |
| author_facet | Seth Larweh Kodjiku Tao Han Yili Fang Esther Stacy E.B Aggrey Collins Sey Kwame O. Asamoah Linda Delali Fiasam Evans Aidoo Xun Wang |
| author_sort | Seth Larweh Kodjiku |
| collection | DOAJ |
| description | Crowdsourcing platforms play a crucial role in promoting transparency and collaborative engagement among participants while aiming to reduce resource consumption and costs. To achieve this, these platforms incorporate mechanisms for monitoring and evaluating worker quality performance. However, significant challenges persist. Centralized systems present trust issues due to their vulnerability to single-point failures. Moreover, data manipulation by malicious actors undermine confidence in the evaluation process, and biased assessments and reward distribution may lead to reduced worker motivation. Addressing these concerns necessitates the development of a decentralized system that ensures trustworthiness, tamper-resistance, accountability, reliability, transparency, and security. This paper introduces a secure multi-tier worker quality evaluation crowdsourcing framework based on blockchain technology. WQCrowd utilizes smart contracts and adopts a three-tier model comprising the Identity, Worker Activity, and Reputation tiers. Additionally, an automated game-based worker evaluation method is incorporated, enhancing the precision of performance assessments. Through our Proof of Concept (PoC) analysis, we demonstrate that the utilization of the blockchain system effectively addresses security concerns, including trust, privacy, and accountability, prevalent in current worker performance evaluation systems. Furthermore, the implementation of the game-based automated system enables our proposed solution to make informed decisions regarding worker quality performance evaluation. |
| first_indexed | 2024-03-08T22:57:30Z |
| format | Article |
| id | doaj.art-62f9f87b264343e89e9f71b954cf0303 |
| institution | Directory Open Access Journal |
| issn | 1319-1578 |
| language | English |
| last_indexed | 2024-03-08T22:57:30Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj.art-62f9f87b264343e89e9f71b954cf03032023-12-16T06:06:09ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782023-12-013510101843WQCrowd: Secure blockchain-based crowdsourcing framework with multi-tier worker quality evaluationSeth Larweh Kodjiku0Tao Han1Yili Fang2Esther Stacy E.B Aggrey3Collins Sey4Kwame O. Asamoah5Linda Delali Fiasam6Evans Aidoo7Xun Wang8School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou 310018, ChinaSchool of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou 310018, China; Corresponding author.School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou 310018, ChinaSchool of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaSchool of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaCollege of Teacher Education, Zhejiang Normal University, Jinhua, 321004, ChinaSchool of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaSchool of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou 310018, ChinaSchool of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou 310018, ChinaCrowdsourcing platforms play a crucial role in promoting transparency and collaborative engagement among participants while aiming to reduce resource consumption and costs. To achieve this, these platforms incorporate mechanisms for monitoring and evaluating worker quality performance. However, significant challenges persist. Centralized systems present trust issues due to their vulnerability to single-point failures. Moreover, data manipulation by malicious actors undermine confidence in the evaluation process, and biased assessments and reward distribution may lead to reduced worker motivation. Addressing these concerns necessitates the development of a decentralized system that ensures trustworthiness, tamper-resistance, accountability, reliability, transparency, and security. This paper introduces a secure multi-tier worker quality evaluation crowdsourcing framework based on blockchain technology. WQCrowd utilizes smart contracts and adopts a three-tier model comprising the Identity, Worker Activity, and Reputation tiers. Additionally, an automated game-based worker evaluation method is incorporated, enhancing the precision of performance assessments. Through our Proof of Concept (PoC) analysis, we demonstrate that the utilization of the blockchain system effectively addresses security concerns, including trust, privacy, and accountability, prevalent in current worker performance evaluation systems. Furthermore, the implementation of the game-based automated system enables our proposed solution to make informed decisions regarding worker quality performance evaluation.http://www.sciencedirect.com/science/article/pii/S131915782300397XBlockchainCrowdsourcingSmart contractWorker evaluationTamper-proof |
| spellingShingle | Seth Larweh Kodjiku Tao Han Yili Fang Esther Stacy E.B Aggrey Collins Sey Kwame O. Asamoah Linda Delali Fiasam Evans Aidoo Xun Wang WQCrowd: Secure blockchain-based crowdsourcing framework with multi-tier worker quality evaluation Journal of King Saud University: Computer and Information Sciences Blockchain Crowdsourcing Smart contract Worker evaluation Tamper-proof |
| title | WQCrowd: Secure blockchain-based crowdsourcing framework with multi-tier worker quality evaluation |
| title_full | WQCrowd: Secure blockchain-based crowdsourcing framework with multi-tier worker quality evaluation |
| title_fullStr | WQCrowd: Secure blockchain-based crowdsourcing framework with multi-tier worker quality evaluation |
| title_full_unstemmed | WQCrowd: Secure blockchain-based crowdsourcing framework with multi-tier worker quality evaluation |
| title_short | WQCrowd: Secure blockchain-based crowdsourcing framework with multi-tier worker quality evaluation |
| title_sort | wqcrowd secure blockchain based crowdsourcing framework with multi tier worker quality evaluation |
| topic | Blockchain Crowdsourcing Smart contract Worker evaluation Tamper-proof |
| url | http://www.sciencedirect.com/science/article/pii/S131915782300397X |
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