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Research Article | Open Access |

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) · Vol. 12, No. 1 · Published 2021

DOI: https://doi.org/10.14569/IJACSA.2021.0120168

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

How to Cite this Article

Islam, L., Alvi, S. T., Rahman, M., Prova, A. A., Hossain, M. N., Sorna, J. F., & Uddin, M. N. (2021). A Blockchain-based Crowdsourced Task Assessment Framework using Smart Contract. International Journal of Advanced Computer Science and Applications, 12(1). https://doi.org/10.14569/IJACSA.2021.0120168

Islam, Linta, et al.. "A Blockchain-based Crowdsourced Task Assessment Framework using Smart Contract." International Journal of Advanced Computer Science and Applications, vol. 12, no. 1, 2021, https://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},
  volume    = {12},
  number    = {1},
  year      = {2021},
  publisher = {The Science and Information Organization},
  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},
  doi       = {10.14569/IJACSA.2021.0120168},
  url       = {https://doi.org/10.14569/IJACSA.2021.0120168}
}

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