• DocumentCode
    742998
  • 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
  • Volume
    6
  • Issue
    5
  • fYear
    2015
  • Firstpage
    2426
  • Lastpage
    2434
  • 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;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2015.2402224
  • Filename
    7050259