Handling Federated Privacy preserving Crowdsourcing platform on blockchain

Computer Engineering

With the rising unemployment and scarcity of jobs, crowdsourcing has emerged as one of the most innovative and helpful uses in recent years. The crowdsourcing technique leverages the power of collaboration to complete difficult and huge projects by breaking them down into simpler tasks. A huge number of workers can successfully perform the minor jobs. However, there is an ongoing issue that has arisen as a result of the installation of these services on the internet architecture. There is a lack of confidence and dependability transmitted by both the task publisher and the employees, resulting in a decline in the number of users on this new platform. There have also been a few techniques intended to reduce this impact, but none of them have been fully successful in reaching better efficiency. As a result, this research proposes an effective strategy for the objective of a trust-free crowdsourcing methodology. The AES encryption system and smart contract technology are combined with Pearson Correlation and Decision Tree on a distributed blockchain architecture in the described solution. According to the experimental results, the proposed approach successfully delivers the intended objective by effective and accurate deployment of AES and the Smart Contract methodologies.

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