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DOI: 10.14569/IJACSA.2021.0120168
PDF

A Blockchain-based Crowdsourced Task Assessment Framework using Smart Contract

Author 1: Linta Islam
Author 2: Syada Tasmia Alvi
Author 3: Mafizur Rahman
Author 4: Ayesha Aziz Prova
Author 5: Md. Nazmul Hossain
Author 6: Jannatul Ferdous Sorna
Author 7: Mohammed Nasir Uddin

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 1, 2021.

  • Abstract and Keywords
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Abstract: In today’s world, crowdsourcing is a highly rising paradigm where mass people are engaged in solving a problem. Though this system has a lot of advantages, yet people are not interested in working on this platform. Thus, we survey people to find out the constraints of this platform and the main reason behind their unwillingness. 59% of people think that security and privacy is the major challenge of a crowdsourcing platform. Therefore, we propose a blockchain-based crowdsourced system which can provide security and privacy to the user’s information. We also have used a smart contract to verify the task so that the users get the exact output that they have wanted. We implemented our system and compared the performance with the existing systems. Our proposed approach outperforms the current methods in terms of cost and properties.

Keywords: Blockchain; crowdsourcing; task allocation; smart contract

Linta Islam, Syada Tasmia Alvi, Mafizur Rahman, Ayesha Aziz Prova, Md. Nazmul Hossain, Jannatul Ferdous Sorna and Mohammed Nasir Uddin. “A Blockchain-based Crowdsourced Task Assessment Framework using Smart Contract”. International Journal of Advanced Computer Science and Applications (IJACSA) 12.1 (2021). http://dx.doi.org/10.14569/IJACSA.2021.0120168

@article{Islam2021,
title = {A Blockchain-based Crowdsourced Task Assessment Framework using Smart Contract},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120168},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120168},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {1},
author = {Linta Islam and Syada Tasmia Alvi and Mafizur Rahman and Ayesha Aziz Prova and Md. Nazmul Hossain and Jannatul Ferdous Sorna and Mohammed Nasir Uddin}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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