On the Utility of Privacy Measures for Battery-Based Load Hiding: Unterschied zwischen den Versionen
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|vortragsmodus=in Präsenz | |vortragsmodus=in Präsenz | ||
|kurzfassung=Battery based load hiding gained a lot of popularity in recent years as an attempt to | |kurzfassung=Battery based load hiding gained a lot of popularity in recent years as an attempt to guarantee a certain degree of privacy for users in smart grids. Our work | ||
guarantee a certain degree of privacy for users in smart grids. Our work | |||
evaluates a set of the most common privacy measures for BBLH. For this purpose we | evaluates a set of the most common privacy measures for BBLH. For this purpose we | ||
define logical natural requirements and score how well each privacy measure complies | define logical natural requirements and score how well each privacy measure complies |
Version vom 18. April 2022, 23:32 Uhr
Vortragende(r) | Hatem Nouri | |
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Vortragstyp | Bachelorarbeit | |
Betreuer(in) | Vadim Arzamasov | |
Termin | Fr 22. April 2022 | |
Vortragsmodus | in Präsenz | |
Kurzfassung | Battery based load hiding gained a lot of popularity in recent years as an attempt to guarantee a certain degree of privacy for users in smart grids. Our work
evaluates a set of the most common privacy measures for BBLH. For this purpose we define logical natural requirements and score how well each privacy measure complies to each requirement. We achieve this by scoring the response for load profile altering (e.g. noise addition) using measures of displacement. We also investigate the stability of privacy measures toward load profile length and number of bins using specific synthetic data experiments. |