Privacy and reliability in crowdsourcing service delivery

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish (US)
Title of host publicationProceedings - 2012 Annual SRII Global Conference, SRII 2012
Number of pages6
StatePublished - 2012
Externally publishedYes
Event2012 Annual SRII Global Conference, SRII 2012 - San Jose, CA, United States
Duration: Jul 24 2012Jul 27 2012

Publication series

NameAnnual SRII Global Conference, SRII
ISSN (Print)2166-0778
ISSN (Electronic)2166-0786


Other2012 Annual SRII Global Conference, SRII 2012
Country/TerritoryUnited States
CitySan Jose, CA

ASJC Scopus subject areas

  • Computer Science Applications


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