Paper Info
Title
Protection of consumer data in the smart grid compliant with the German smart metering guideline
Abstract
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.
Year
DOI
Venue
2013
10.1145/2516930.2516933
SEGS@CCS
Keywords
Field
DocType
smart grid compliant,privacy level,german smart metering guideline,fine-grained consumption data,consumer privacy,real-world smart metering system,smart meter gateway,technical guideline,consumer data,smart metering system,privacy protection,aggregate data,homomorphic encryption,smart grid,privacy
Overhead (computing),News aggregator,Smart grid,Load balancing (computing),Consumer privacy,Computer science,Computer security,Information security,Default gateway,Smart meter
Conference
Citations 
PageRank 
References 
3
0.47
15
Authors
3
Name
Order
Citations
PageRank
Anna Biselli130.47
Elke Franz211354.42
Maurílio Pereira Coutinho330.47