Data Perturbation with State-Dependent Noise for Participatory Sensing

The emerging participatory sensing applications rely on individuals' inputs which may be highly correlated with individuals' sensitive information or personal data. Hence, privacy protection is crucial to encourage individual participation for participatory sensing applications to generate trustworthy and high quality data. A widely used technique for privacy preservation is data perturbation, which adds noises to original data at the client …