Enhancing the Privacy of Smart Buildings

The design of smart buildings that automatically optimize energy usage is important for improving energy-efficiency. Unfortunately, a key barrier to the broad adoption of energy-efficiency optimizations is that Internet-connected sensors often leak private information about user behavior. This project designed low-cost, non-intrusive, privacy-enhancing techniques that reduced the private information leaked through smart devices, while still permitting the sophisticated analytics, control, and verification necessary to enable energy optimizations for smart buildings. This project was funded by the National Science Foundation under grant CNS-1505422.