| Title | Universal Privacy Guarantees for Smart Meters |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Arrieta, Miguel, Esnaola, Iñaki, Effros, Michelle |
| Conference Name | 2019 IEEE International Symposium on Information Theory (ISIT) |
| Date Published | jul |
| Keywords | adaptive codes, Batteries, battery charging policy, battery management systems, Control Theory and Privacy, customer privacy, cyber physical systems, Cyber-physical systems, data privacy, electricity distribution system efficiency, energy consumption, energy cost, energy management systems, home batteries, Human Behavior, maximal information leakage, Measurement, Mutual information, nonprobabilistic permuting channels, power distribution, power engineering computing, privacy, pubcrawl, random processes, Resiliency, Scalability, Silicon, smart meters, stochastic models, Stochastic processes, universal privacy guarantees, user energy consumption, utility provider |
| Abstract | Smart meters enable improvements in electricity distribution system efficiency at some cost in customer privacy. Users with home batteries can mitigate this privacy loss by applying charging policies that mask their underlying energy use. A battery charging policy is proposed and shown to provide universal privacy guarantees subject to a constraint on energy cost. The guarantee bounds our strategy's maximal information leakage from the user to the utility provider under general stochastic models of user energy consumption. The policy construction adapts coding strategies for non-probabilistic permuting channels to this privacy problem. |
| DOI | 10.1109/ISIT.2019.8849679 |
| Citation Key | arrieta_universal_2019 |
Universal Privacy Guarantees for Smart Meters