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Privacy and security challenges in the smart grid user domain

Published: 17 June 2013 Publication History

Abstract

The term "smart grids" is used to describe the next-generation intelligent energy systems. Smart grids employ state-of-the-art information and communication technology to control generation, distribution and consumption of energy. With smart grids, the power network organization moves from a hierarchical to a decentralized structure and communication flow moves from largely uni-directional to bi-directional. The degree of information needed on network status is vastly more accurate compared to traditional power networks, and needs to be available in fine granularity in near real-time. The availability of such fine-grained data raises severe privacy concerns in the end-user domain. For example, the application of non-intrusive load monitoring techniques to high-resolution load profiles allows inferring details on user behavior such as presence, sleep-and-wake cycles and the brands of used appliances. Another challenge in the widespread adoption of smart grid technologies lies in the domain of security. Recent reports of smart meters that can easily be hacked and used to remotely control energy availability in the connected household have not helped to increase user trust.
In this talk, the main challenges in the area of smart grid privacy and security from an end-user perspective will be reviewed. At the example of smart metering, selected solutions will be discussed in detail, with a focal point on leveraging insights and methods from multimedia security to provide security and privacy in the smart grid user domain. These include signal processing in the encrypted domain / secure signal processing, homomorphic encryption, conditional access based on multi-resolution analysis, as well as watermarking techniques.

References

[1]
D. Engel. Conditional access smart meter privacy based on multi-resolution wavelet analysis. In Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, pages 45:1--45:5, Barcelona, Spain, 2011. ACM.
[2]
D. Engel. Wavelet-based load profile representation for smart meter privacy. In Proc.\ IEEE PES Innovative Smart Grid Technologies (ISGT’13), pages 1--6, Washington, D.C., USA, Feb. 2013. IEEE.

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cover image ACM Conferences
IH&MMSec '13: Proceedings of the first ACM workshop on Information hiding and multimedia security
June 2013
242 pages
ISBN:9781450320818
DOI:10.1145/2482513
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 June 2013

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Author Tags

  1. privacy
  2. security
  3. smart grids

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  • Invited-talk

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IH&MMSec '13
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IH&MMSec '13 Paper Acceptance Rate 27 of 74 submissions, 36%;
Overall Acceptance Rate 128 of 318 submissions, 40%

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