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Effectiveness of Privacy Techniques in Smart Metering Systems...

by Martin Peralta-peterson, Olivera Kotevska
Publication Type
Conference Paper
Book Title
2021 International Conference on Computational Science and Computational Intelligence (CSCI)
Publication Date
Page Numbers
675 to 678
Publisher Location
New Jersey, United States of America
Conference Name
8th International Conference on Computational Science and Computational Intelligence (CSCI'21)
Conference Location
Las Vegas/Virtual, Nevada, United States of America
Conference Sponsor
IEEE
Conference Date
-

Smart grid technologies enable timely energy billing for residential homes. The ability to react to energy demands during peak hours allows energy providers to conserve power and operate efficiently. However, these data streams are also susceptible to privacy attacks within the energy company and from outside hackers. We implemented four different privacy models: k-anonymous, l-diversity, t-closeness, and ε-differential privacy. We demonstrate the models’ effectiveness using a real-world dataset composed of 15 different residential households with energy consumption data spanning over a year.