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Cited by 716

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A Survey on Cyber Security for Smart Grid Communications

Yan, Ye, Qian, Yi, Sharif, Hamid, Tipper, David·2012·IEEE Communications Surveys & Tutorials

Abstract

A smart grid is a new form of electricity network with high fidelity power-flow control, self-healing, and energy reliability and energy security using digital communications and control technology. To upgrade an existing power grid into a smart grid, it requires significant dependence on intelligent and secure communication infrastructures. It requires security frameworks for distributed communications, pervasive computing and sensing technologies in smart grid. However, as many of the communication technologies currently recommended to use by a smart grid is vulnerable in cyber security, it could lead to unreliable system operations, causing unnecessary expenditure, even consequential disaster to both utilities and consumers. In this paper, we summarize the cyber security requirements and the possible vulnerabilities in smart grid communications and survey the current solutions on cyber security for smart grid communications.

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Metadata

Authors
Yan, Y., Qian, Y., Sharif, H., & Tipper, D.
Venue
IEEE Communications Surveys & Tutorials
Published
2012
Volume
14
Issue
4
Pages
998-1010
ISSN
1553-877X (ISSN-L)
OpenAlex
W2153268908
Cited by
716
References
1
FWCI
59.81
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Survey on Cyber Security for Smart Grid Communications. https://app.cochat.ai/papers/10.1109/surv.2012.010912.00035
The paper
Yan, Y., Qian, Y., Sharif, H., & Tipper, D. (2012). A Survey on Cyber Security for Smart Grid Communications. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/surv.2012.010912.00035

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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.