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Privacy-Preserving in Crowdsourcing with Tasks


Author : Priyanka Dhage and Prof. Priyanka Kedar.

Pages : 263-267
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Abstract

With the improvement of sharing economy, crowdsourcing as a disseminated registering worldview has become  progressively unavoidable. As one of key administrations for most crowdsourcing applications, task coordinating has likewise been broadly investigated. Be that as it may, privacy issues are generally overlooked during the assignment coordinating and y existing privacy-preserving  crowdsourcing systems can at the same time secure both task privacy and laborer privacy. This paper efficiently breaks down the privacy holes and potential dangers in the assignment  coordinating and proposes a solitary watchword task coordinating plan for the multi-requester/multi-specialist crowdsourcing with proficient specialist renouncement. The proposed plan not just secures information classification and personality obscurity against the group server,  yet in addition accomplishes inquiry discernibility against exploitative or disavowed laborers. Point by point privacy examination and exhaustive execution assessment show that the proposed plan is secure and possible.

Keywords: Crowdsourcing, task matching, privacy, anonymity, revocation, traceability.

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