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Cyber–Physical Security of a Smart Grid Infrastructure

Yilin Mo, Kim, Tiffany Hyun-Jin, Brancik, K., Dickinson, D., Heejo Lee, Perrig, A., Sinopoli, B.·2012·Proceedings of the IEEE

Abstract

It is often appealing to assume that existing solutions can be directly applied to emerging engineering domains. Unfortunately, careful investigation of the unique challenges presented by new domains exposes its idiosyncrasies, thus often requiring new approaches and solutions. In this paper, we argue that the “smart” grid, replacing its incredibly successful and reliable predecessor, poses a series of new security challenges, among others, that require novel approaches to the field of cyber security. We will call this new field cyber-physical security. The tight coupling between information and communication technologies and physical systems introduces new security concerns, requiring a rethinking of the commonly used objectives and methods. Existing security approaches are either inapplicable, not viable, insufficiently scalable, incompatible, or simply inadequate to address the challenges posed by highly complex environments such as the smart grid. A concerted effort by the entire industry, the research community, and the policy makers is required to achieve the vision of a secure smart grid infrastructure.

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Metadata

Authors
Mo, Y., Kim, T. H.-J., Brancik, K., Dickinson, D., Lee, H., Perrig, A., & Sinopoli, B.
Venue
Proceedings of the IEEE
Published
2012-01
Volume
100
Issue
1
Pages
195-209
ISSN
  • 0018-9219 (ISSN-L)
  • 1558-2256
OpenAlex
W2157078218
Cited by
1,096
References
0
FWCI
59.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cyber–Physical Security of a Smart Grid Infrastructure. https://app.cochat.ai/papers/10.1109/jproc.2011.2161428
The paper
Mo, Y., Kim, T. H.-J., Brancik, K., Dickinson, D., Lee, H., Perrig, A., & Sinopoli, B. (2012). Cyber–Physical Security of a Smart Grid Infrastructure. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2011.2161428

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.