Author : Prasad B .Suryakar and Virendra V. Bagade

Unemployment has been on a steady rise in major countries all across the world. There is also a growing need for small tasks that need to be completed in an organization at the same time. Therefore, the Crowdsourcing paradigm is being widely used nowadays for a wide variety of fields. This allows the organization heads to get their small tasks done without employing a large workforce. The crowdsourcing platform also offers a lot of part-time employability to a large subsection of the populous which will share the complex workload to achieve efficient task completion. The only limitation of this platform is the lack of security and the presence of malicious users that reduce the Quality of service for the workers as well as the task publishers. Therefore, for the purpose of implementing a secure crowdsourcing platform Blockchain is utilized effectively. The blockchain platform increases the security of the system and helps introduce a  Reward and Penalty based scheme that introduces accountability into the system for the worker as well as the task publishers. The proposed technique utilizes Entropy Estimation through Shannon Information Gain along with Decision tree and Blockchain to implement a secure crowdsourcing paradigm.

Keywords: Blockchain, Shannon Information Gain, Decision Tree, Data Vending.