TY - GEN
T1 - PrivGeoCrowd
T2 - 2015 31st IEEE International Conference on Data Engineering, ICDE 2015
AU - To, Hien
AU - Ghinita, Gabriel
AU - Shahabi, Cyrus
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/5/26
Y1 - 2015/5/26
N2 - Spatial Crowdsourcing (SC) is a novel and transformative platform that engages individuals, groups and communities in the act of collecting, analyzing, and disseminating environmental, social and other spatio-temporal information. SC outsources a set of spatio-temporal tasks to a set of workers, i.e., individuals with mobile devices that perform the tasks by physically traveling to specified locations of interest. Protecting location privacy is an important concern in SC, as an adversary with access to individual whereabouts can infer sensitive details about a person (e.g., health status, political views). Due to the challenging nature of protecting worker privacy in SC, solutions for this problem are quite complex, and require tuning of several parameters to obtain satisfactory results. In this paper, we propose PrivGeoCrowd, a toolbox for interactive visualization and tuning of SC private task assignment methods. This toolbox is useful for several real-world entities that are involved in SC, such as: mobile phone operators that want to sanitize datasets with worker locations, spatial task requesters, and SC-service providers that match workers to tasks.
AB - Spatial Crowdsourcing (SC) is a novel and transformative platform that engages individuals, groups and communities in the act of collecting, analyzing, and disseminating environmental, social and other spatio-temporal information. SC outsources a set of spatio-temporal tasks to a set of workers, i.e., individuals with mobile devices that perform the tasks by physically traveling to specified locations of interest. Protecting location privacy is an important concern in SC, as an adversary with access to individual whereabouts can infer sensitive details about a person (e.g., health status, political views). Due to the challenging nature of protecting worker privacy in SC, solutions for this problem are quite complex, and require tuning of several parameters to obtain satisfactory results. In this paper, we propose PrivGeoCrowd, a toolbox for interactive visualization and tuning of SC private task assignment methods. This toolbox is useful for several real-world entities that are involved in SC, such as: mobile phone operators that want to sanitize datasets with worker locations, spatial task requesters, and SC-service providers that match workers to tasks.
UR - http://www.scopus.com/inward/record.url?scp=84940853638&partnerID=8YFLogxK
U2 - 10.1109/ICDE.2015.7113387
DO - 10.1109/ICDE.2015.7113387
M3 - Conference contribution
AN - SCOPUS:84940853638
T3 - Proceedings - International Conference on Data Engineering
SP - 1404
EP - 1407
BT - 2015 IEEE 31st International Conference on Data Engineering, ICDE 2015
PB - IEEE Computer Society
Y2 - 13 April 2015 through 17 April 2015
ER -