TY - GEN
T1 - Privacy and reliability in crowdsourcing service delivery
AU - Varshney, Lav R.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84870774489&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84870774489&partnerID=8YFLogxK
U2 - 10.1109/SRII.2012.17
DO - 10.1109/SRII.2012.17
M3 - Conference contribution
AN - SCOPUS:84870774489
SN - 9780769547701
T3 - Annual SRII Global Conference, SRII
SP - 55
EP - 60
BT - Proceedings - 2012 Annual SRII Global Conference, SRII 2012
T2 - 2012 Annual SRII Global Conference, SRII 2012
Y2 - 24 July 2012 through 27 July 2012
ER -