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Publication
SRII 2012
Conference paper
Privacy and reliability in crowdsourcing service delivery
Abstract
Due to the anonymity and low pay of workers in crowdsourcing platforms, there may be concerns regarding reliability and privacy-preservation when using such platforms to deliver services. This paper describes a technique for jointly providing privacy and reliability through stochastic perturbation of microtask definitions and fusion rules to combine the work of several workers. A mathematical model of a crowdsourcing system using this technique is proposed and precise threshold conditions on loss of privacy when workers collude are provided. Tradeoffs between privacy, reliability, and cost are determined. © 2012 IEEE.