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Security and Privacy in Smart Grid Demand Response Systems

Part of the Lecture Notes in Computer Science book series (LNSC,volume 8448)

Abstract

Various research efforts have focussed on the security and privacy concerns arising from the introduction of smart energy meters. However, in addition to smart metering, the ultimate vision of the smart grid includes bi-directional communication between consumers and suppliers to facilitate certain types of Demand Response (DR) strategies such as demand bidding (DR-DB). In this work we explore the security and privacy implications arising from this bi-directional communication. This paper builds on the preliminary work in this field to define a set of security and privacy goals for DR systems and to identify appropriate and realistic adversary models. We use these adversary models to analyse a DR-DB system, based on the Open Automated Demand Response (OpenADR) specifications, in terms of the security and privacy goals. Our analysis shows that whilst the system can achieve the defined security goals, the current system architecture cannot achieve the privacy goals in the presence of honest-but-curious adversaries. To address this issue, we present a preliminary proposal for an enhanced architecture which includes a trusted third party based on approaches and technologies from the field of Trusted Computing.

Keywords

  • Smart Grid
  • Demand Response (DR)
  • OpenADR
  • Private Goals
  • Privacy-preserving Smart Metering

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Acknowledgements

The research described in this paper was conducted as part of the Future Home Networks and Services project at the University of Oxford, funded by BT.

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Correspondence to Andrew Paverd .

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Paverd, A., Martin, A., Brown, I. (2014). Security and Privacy in Smart Grid Demand Response Systems. In: Cuellar, J. (eds) Smart Grid Security. SmartGridSec 2014. Lecture Notes in Computer Science(), vol 8448. Springer, Cham. https://doi.org/10.1007/978-3-319-10329-7_1

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  • DOI: https://doi.org/10.1007/978-3-319-10329-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10328-0

  • Online ISBN: 978-3-319-10329-7

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