A Privacy Approach for Crowd-Source Analytics Based on Internet of Things Sensor Data

摘要

This paper discusses an effort to provide mobile applications and crowd-based analytics that protect user privacy information. The paper discusses an approach for abstracting personally identifiable information and location information both at the device and in cloud-based analytics. The paper provides a walkthrough of several clustering analytics examples. As an example, crowd-sourced alerts related to air pressure measurements for weather alerts are discussed.