Managing Crowd Sourcing paradigm through Efficient blockchain technology

Abstract

Crowdsourcing paradigm has been getting increasingly popular in recent years. The crowdsourcing platform allows for the integration of a large number of workers in achieving complex goals. This is highly useful in the current scenario where unemployability looms large which is a major problem in many countries. Crowdsourcing allows effective utilization and management of the workforce which can be fruitful for both the worker as well as the requestor. One of the most essential problems in this platform is the low level of trust or security as well as low accountability. These factors limit the usability of the approach as well as the security that can be highly detrimental. Therefore, the approach stipulated in this article defines an innovative addition of the distributed blockchain framework to enhance the security of the approach significantly. The proposed methodology utilizes Entropy Estimation and Shannon information gain along with Decision Tree and the Blockchain distributed framework to achieve effective and secure implementation of the crowdsourcing paradigm. The experimental results conclude that the presented technique has performed exceptionally well in comparison with conventional methodologies.