Measuring the Privacy Loss with Smart Meters

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Vortragende(r) Daniel Milbaier
Vortragstyp Bachelorarbeit
Betreuer(in) Vadim Arzamasov
Termin Fr 9. April 2021
Kurzfassung The rapid growth of renewable energy sources and the increased sales in

electric vehicels contribute to a more volatile power grid. Energy suppliers rely on data to predict the demand and to manage the grid accordingly. The rollout of smart meters could provide the necessary data. But on the other hand, smart meters can leak sensitive information about the customer. Several solution were proposed to mitigate this problem. Some depend on privacy measures to calculate the degree of privacy one could expect from a solution. This bachelor thesis constructs a set of experiments which help to analyse some privacy measures and thereby determine, whether the value of a privacy measure increases or decreases with an increase in privacy.