Title :
Preventing Occupancy Detection From Smart Meters
Author :
Dong Chen ; Kalra, Sandeep ; Irwin, David ; Shenoy, Prashant ; Albrecht, Jeannie
Author_Institution :
Univ. of Massachusetts at Amherst, Amherst, MA, USA
Abstract :
Utilities are rapidly deploying smart meters that measure electricity usage in real-time. Unfortunately, smart meters indirectly leak sensitive information about a home´s occupancy, which is easy to detect because it highly correlates with simple statistical metrics, such as power´s mean, variance, and range. To prevent occupancy detection, we propose using the thermal energy storage of electric water heaters already present in many homes. In essence, our approach, which we call combined heat and privacy (CHPr), modulates a water heater´s power usage to make it look like someone is always home. We design a CHPr-enabled water heater that regulates its energy usage to thwart a variety of occupancy detection attacks without violating its objective-to provide hot water on demand-and evaluate it in simulation using real data. Our results show that a standard 50-gal CHPr-enabled water heater prevents a wide range of state-of-the-art occupancy detection attacks.
Keywords :
data privacy; power engineering computing; smart meters; thermal energy storage; CHPr-enabled water heater; combined heat and privacy approach; electric water heaters; occupancy detection attacks; occupancy detection prevention; smart meters; thermal energy storage; Batteries; Cogeneration; Home appliances; Smart meters; Thermal energy; Water heating; Data privacy; Internet of things; smart grids;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2015.2402224