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Two Is Not Enough: Privacy Assessment of Aggregation Schemes in Smart Metering

Büscher, Niklas ; Boukoros, Spyros ; Bauregger, Stefan ; Katzenbeisser, Stefan :
Two Is Not Enough: Privacy Assessment of Aggregation Schemes in Smart Metering.
Proceedings on Privacy Enhancing Technologies De Gruyter
[ Konferenzveröffentlichung] , (2017)

Kurzbeschreibung (Abstract)

The widespread deployment of smart meters that frequently report energy consumption information, is a known threat to consumers’ privacy. Many promising privacy protection mechanisms based on secure aggregation schemes have been proposed. Even though these schemes are cryptographically secure, the energy provider has access to the plaintext aggregated power consumption. A privacy trade-off exists between the size of the aggregation scheme and the personal data that might be leaked, where smaller aggregation sizes leak more personal data. Recently, a UK industrial body has studied this privacy trade-off and identified that two smart meters forming an aggregate, are sufficient to achieve privacy. In this work, we challenge this study and investigate which aggregation sizes are sufficient to achieve privacy in the smart grid. Therefore, we propose a flexible, yet formal privacy metric using a cryptographic game based definition. Studying publiclyavailable, real world energy consumption datasets with various temporal resolutions, ranging from minutes to hourly intervals, we show that a typical household can be identified with very high probability. For example, we observe a 50% advantage over random guessing in identifying households for an aggregation size of 20 households with a 15-minutes reporting interval. Furthermore, our results indicate that single appliances can be identified with significant probability in aggregation sizes up to 10 households.

Typ des Eintrags: Konferenzveröffentlichung ( nicht bekannt)
Erschienen: 2017
Autor(en): Büscher, Niklas ; Boukoros, Spyros ; Bauregger, Stefan ; Katzenbeisser, Stefan
Titel: Two Is Not Enough: Privacy Assessment of Aggregation Schemes in Smart Metering
Sprache: Englisch
Kurzbeschreibung (Abstract):

The widespread deployment of smart meters that frequently report energy consumption information, is a known threat to consumers’ privacy. Many promising privacy protection mechanisms based on secure aggregation schemes have been proposed. Even though these schemes are cryptographically secure, the energy provider has access to the plaintext aggregated power consumption. A privacy trade-off exists between the size of the aggregation scheme and the personal data that might be leaked, where smaller aggregation sizes leak more personal data. Recently, a UK industrial body has studied this privacy trade-off and identified that two smart meters forming an aggregate, are sufficient to achieve privacy. In this work, we challenge this study and investigate which aggregation sizes are sufficient to achieve privacy in the smart grid. Therefore, we propose a flexible, yet formal privacy metric using a cryptographic game based definition. Studying publiclyavailable, real world energy consumption datasets with various temporal resolutions, ranging from minutes to hourly intervals, we show that a typical household can be identified with very high probability. For example, we observe a 50% advantage over random guessing in identifying households for an aggregation size of 20 households with a 15-minutes reporting interval. Furthermore, our results indicate that single appliances can be identified with significant probability in aggregation sizes up to 10 households.

Buchtitel: Proceedings on Privacy Enhancing Technologies
Band: 2017
(Heft-)Nummer: 4
Verlag: De Gruyter
Freie Schlagworte: smart grid, smart meters, privacy, aggrega- tion, measurements, privacy metric
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Security Engineering
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Graduiertenkolleg 2050 Privacy and Trust for Mobile Users
Profilbereiche
Profilbereiche > Cybersicherheit (CYSEC)
Veranstaltungsort: Minneapolis, USA
Hinterlegungsdatum: 07 Aug 2017 13:42
DOI: 10.1515/popets-2017-0030
ID-Nummer: TUD-CS-2017-0213
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