Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1109/TSG.2015.2402224 | IEEE Transactions on Smart Grid |
Keywords | Field | DocType |
Data privacy, Internet of things, smart grids | Thermal energy storage,Thermal energy,Metre,Electricity,Occupancy,Cogeneration,Engineering,Information sensitivity,Embedded system,Power usage | Journal |
Volume | Issue | ISSN |
PP | 99 | 1949-3053 |
Citations | PageRank | References |
11 | 0.71 | 15 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dong Chen | 1 | 37 | 3.03 |
Sandeep Kalra | 2 | 11 | 0.71 |
David E. Irwin | 3 | 899 | 98.12 |
Prashant J. Shenoy | 4 | 6386 | 521.30 |
Jeannie R. Albrecht | 5 | 26 | 2.50 |