Privacy-Preserving Aggregation in the Smart Grid

Privacy-Preserving Aggregation in the Smart Grid

Georgios Karopoulos (National and Kapodistrian University of Athens, Greece), Christoforos Ntantogian (University of Piraeus, Greece) and Christos Xenakis (University of Piraeus, Greece)
DOI: 10.4018/978-1-5225-1829-7.ch005
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The introduction of information and communication technologies to the traditional energy grid offers advantages like efficiency, increased reliability, resilience, and better control of demand-response, while on the other hand poses customers' privacy at risk. By using information collected by a smart meter, an attacker can deduce whether a house is empty from its residents, which devices are being used, residents' habits and so on. In order to cope with such cases, many privacy-preserving aggregation solutions have been proposed that allow aggregation, while at the same time protect individual readings from attackers. In this book chapter, the authors provide a critical review of such methods, comparing them and discussing advantages and disadvantages.
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In this section, the authors present a generic smart grid architecture that will assist in the analysis of the privacy-preserving aggregation schemes. Next, the authors will present the considered security model for consumption aggregation, and the requirements that derive from it.

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