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Strategic Protection Against Data Injection Attacks on Power Grids
Abstract
Data injection attacks to manipulate system state estimators on power grids are considered. A unified formulation for the problem of constructing attacking vectors is developed for linearized measurement models. Based on this formulation, a new low-complexity attacking strategy is shown to significantly outperform naiveℓ1relaxation. It is demonstrated that it is possible to defend against malicious data injection if a small subset of measurements can be made immune to the attacks. However, selecting such subsets is a high-complexity combinatorial problem given the typically large size of electrical grids. To address the complexity issue, a fast greedy algorithm to select a subset of measurements to be protected is proposed. Another greedy algorithm that facilitates the placement of secure phasor measurement units (PMUs) to defend against data injection attacks is also developed. Simulations on the IEEE test systems demonstrate the benefits of the proposed algorithms.
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Cites
Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
Cascade-based attacks on complex networks
Motter, A. E., & Lai, Y.-C. (2002) · Physical Review E · doi:10.1103/physreve.66.065102 · Cited by 1,929
Cited by
Cyber security in the Smart Grid: Survey and challenges
Wang, W., & Lu, Z. (2013) · Computer Networks · doi:10.1016/j.comnet.2012.12.017 · Cited by 1,123
Vulnerability Assessment of AC State Estimation With Respect to False Data Injection Cyber-Attacks
Hug, G., & Giampapa, J. A. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2195338 · Cited by 595
A survey of physics-based attack detection in cyber-physical systems
Giraldo, J., Urbina, D., Cardenas, A., Valente, J., Faisal, M., Ruths, J., Tippenhauer, N. O., Sandberg, H., & Candell, R. (2019) · ACM Computing Surveys · doi:10.1145/3203245 · Cited by 535
Secure Control Systems: A Quantitative Risk Management Approach
(2015) · IEEE Control Systems · doi:10.1109/mcs.2014.2364709 · Cited by 316
State of the art of cyber-physical systems security: An automatic control perspective
Zacchia Lun, Y., D’Innocenzo, A., Smarra, F., Malavolta, I., & Di Benedetto, M. D. (2019) · Journal of Systems and Software · doi:10.1016/j.jss.2018.12.006 · Cited by 211
Metadata
- Authors
- Kim, T. T., & Poor, H. V.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2011-06
- Volume
- 2
- Issue
- 2
- Pages
- 326-333
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2164681195
- Cited by
- 570
- References
- 2
- FWCI
- 46.98
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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