RPTD: Reliability-enhanced Privacy-preserving Truth Discovery for Mobile Crowdsensing

obile rowdensing (MCS) provides effective data collection through smart devices carried by users. However, the data sensed from various devices is privacy-sensitive and not always trustworthy so that the cloud server needs to extract truthful values while protecting the privacy of user personal data. Although some privacy-preserving truth discovery mechanisms have been proposed to address these issues, they ignore the fact that the reliability of truth discovery algorithms may be considerably degraded by outliers in sensing data, and still cannot guarantee strong privacy. In this article, we propose a eliability-enhanced rivacy-preserving ruth