The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Cyber–Physical System Security for the Electric Power Grid
Abstract
The development of a trustworthy smart grid requires a deeper understanding of potential impacts resulting from successful cyber attacks. Estimating feasible attack impact requires an evaluation of the grid's dependency on its cyber infrastructure and its ability to tolerate potential failures. A further exploration of the cyber-physical relationships within the smart grid and a specific review of possible attack vectors is necessary to determine the adequacy of cybersecurity efforts. This paper highlights the significance of cyber infrastructure security in conjunction with power application security to prevent, mitigate, and tolerate cyber attacks. A layered approach is introduced to evaluating risk based on the security of both the physical power applications and the supporting cyber infrastructure. A classification is presented to highlight dependencies between the cyber-physical controls required to support the smart grid and the communication and computations that must be protected from cyber attack. The paper then presents current research efforts aimed at enhancing the smart grid's application and infrastructure security. Finally, current challenges are identified to facilitate future research efforts.
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Cites
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False data injection attacks against state estimation in electric power grids
Liu, Y., Ning, P., & Reiter, M. K. (2011) · ACM Transactions on Information and System Security · doi:10.1145/1952982.1952995 · Cited by 2,428
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Phadke, A. G., & Thorp, J. S. (2008) · Power Electronics and Power Systems · doi:10.1007/978-0-387-76537-2 · Cited by 1,810
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Stouffer, K., Pillitteri, V., Lightman, S., Abrams, M., & Hahn, A. (2015) · doi:10.6028/nist.sp.800-82r2 · Cited by 1,377
Self-citationStoneburner, G., Goguen, A., & Feringa, A. (2002) · doi:10.6028/nist.sp.800-30 · Cited by 1,355
Achieving Controllability of Electric Loads
Callaway, D. S., & Hiskens, I. A. (2011) · Proceedings of the IEEE · doi:10.1109/jproc.2010.2081652 · Cited by 1,069
Bad data analysis for power system state estimation
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Vulnerability Assessment of Cybersecurity for SCADA Systems
Ten, C.-W., Liu, C.-C., & Manimaran, G. (2008) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2008.2002298 · Cited by 583
Detecting False Data Injection Attacks on DC State Estimation
Bobba, R. B., Rogers, K. M., Wang, Q., Khurana, H., Nahrstedt, K., & Overbye, T. J. (2010) · Cited by 448
Cybersecurity for Critical Infrastructures: Attack and Defense Modeling
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Cited by
Attack Detection and Identification in Cyber-Physical Systems
Pasqualetti, F., Dorfler, F., & Bullo, F. (2013) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2013.2266831 · Cited by 2,109
Cyber-Physical Systems Security—A Survey
Humayed, A., Lin, J., Li, F., & Luo, B. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2703172 · Cited by 1,185
On the definition of cyber-physical resilience in power systems
Arghandeh, R., von Meier, A., Mehrmanesh, L., & Mili, L. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.12.193 · Cited by 404
Detecting False Data Injection Attacks in Smart Grids: A Semi-Supervised Deep Learning Approach
Zhang, Y., Wang, J., & Chen, B. (2021) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2020.3010510 · Cited by 332
Secure Control Systems: A Quantitative Risk Management Approach
(2015) · IEEE Control Systems · doi:10.1109/mcs.2014.2364709 · Cited by 316
Metadata
- Authors
- Sridhar, S., Hahn, A., & Govindarasu, M.
- Venue
- Proceedings of the IEEE
- Published
- 2012-01
- Volume
- 100
- Issue
- 1
- Pages
- 210-224
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2051054517
- Cited by
- 1,208
- References
- 37
- FWCI
- 56.17
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sridhar, S., Hahn, A., & Govindarasu, M. (2012). Cyber–Physical System Security for the Electric Power Grid. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2011.2165269
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
