On - The Lack Of - Location Privacy in Crowdsourcing Applications

This course explores the challenges and implications of location privacy in crowdsourcing applications, specifically focusing on mobile crowdsourcing (MCS). The learning outcomes include understanding the privacy concerns in geo-located data collection, evaluating the performance of existing location privacy-preserving mechanisms (LPPMs) in MCS settings, and identifying the impact of these mechanisms on applications' utility. The course teaches skills such as analyzing data from mobile crowdsourcing projects, assessing the effectiveness of LPPMs, and outlining research directions for developing new location privacy solutions tailored to MCS needs. The teaching method involves presenting research findings and discussing potential research avenues. This course is intended for application developers, researchers, and individuals interested in privacy issues related to crowdsourcing and mobile technologies.