Institutsseminar/2021-04-09
| Datum | Freitag, 9. April 2021 | |
|---|---|---|
| Uhrzeit | 14:00 – 14:30 Uhr (Dauer: 30 min) | |
| Ort | https://conf.dfn.de/webapp/conference/979160755 | |
| Webkonferenz | ||
| Vorheriger Termin | Fr 9. April 2021 | |
| Nächster Termin | Fr 16. April 2021 |
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Vorträge
| Vortragende(r) | Daniel Milbaier |
|---|---|
| Titel | Measuring the Privacy Loss with Smart Meters |
| Vortragstyp | Bachelorarbeit |
| Betreuer(in) | Vadim Arzamasov |
| Vortragssprache | |
| Vortragsmodus | |
| 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. |
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Hinweise
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.