Time series compressibility and privacy
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Fully homomorphic encryption using ideal lattices
Proceedings of the forty-first annual ACM symposium on Theory of computing
Secure data aggregation with multiple encryption
EWSN'07 Proceedings of the 4th European conference on Wireless sensor networks
A fully homomorphic encryption scheme
A fully homomorphic encryption scheme
Private memoirs of a smart meter
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
Protecting consumer privacy from electric load monitoring
Proceedings of the 18th ACM conference on Computer and communications security
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Smart metering systems obtain fine-grained consumption data of their users. This allows for effective load balancing, but at the same time threatens consumers' privacy. Since the electricity provider only needs the characteristics of a region, not individuals, approaches like one by Mármol et al. suggest to aggregate data to protect consumer privacy. However, an implementation of such an approach also has to consider the legal and regulatory situation. In Germany, the technical guideline TR-03109 issued by the Federal Office for Information Security specifies demands which have to be fulfilled so that a smart meter gateway can be certified for use. These specifications imply limitations to the protocol design. Within this paper, we discuss the applicability of the method presented by Mármol et al. under consideration of the German Smart Metering guideline. Where conformity is not given, we offer a solution to overcome these restrictions by adapting their method and introduce a third party aggregator who does not have to be trusted. Our method comes with additional communication effort but behaves well in terms of memory and computational overhead. The achieved privacy level outreaches a purely pseudonymous value transmission. Also it does not contradict the postulations of TR-03109, making it an applicable choice for privacy protection in real-world smart metering systems.