A Distinctive Privacy Based Algorithm For Crowdsourcing Platform

Crowdsourcing is modern businesses term where an indi- vidual, an institution or non-profit organization proposes to an individual or a group of individuals to accomplish a particular task. Crowdsourcing is platforms where employ ers are allowed interact with the employees and get their work done. Crowdsourcing environment may contain sen- sitive attributes, which may lead to privacy leakage and the outsiders could link SA's with other public databases to reveal individual confidential information. In recent years many techniques like randomization, generalization, k-anonymity, l-diversity have been proposed by many researchers in order to safeguard the privacy of sensitive data. In this paper we introduce an enhanced approach for crowdsourcing, which helps to overcome privacy vio- lations to the maximum extent.