The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Blind False Data Injection Attack Using PCA Approximation Method in Smart Grid
Abstract
Accurate state estimation is of paramount importance to maintain normal operations of smart power grids. However, recent research shows that carefully produced attacks with the knowledge of the grid topology, i.e., Jacobian matrix, can bypass the bad data detection (BDD) system. The BDD is used to ensure the integrity of state estimation to filter faulty measurements introduced by device malfunctions or malicious attacks. However, to construct the false data injection attack vectors, a common assumption in most prior works on false data injection attacks is that the attacker has complete knowledge about the power grid topology and transmission-line admittances. By contrast, this paper studies the general problem of blind false data injection attacks using the principal component analysis approximation method without the knowledge of Jacobian matrix and the assumption regarding the distribution of state variables. The proposed attack is proven to be approximately stealthy.1The performance of the proposed attack is analyzed. Simulations confirm the performance of the proposed method.
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Cites
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Toward a smart grid: power delivery for the 21st century
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A Survey on Smart Grid Communication Infrastructures: Motivations, Requirements and Challenges
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False data injection attacks against state estimation in electric power grids
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Malicious Data Attacks on the Smart Grid
Kosut, O., Jia, L., Thomas, R. J., & Tong, L. (2011) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2011.2163807 · Cited by 784
Electric power system state estimation
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A Survey on Cyber Security for Smart Grid Communications
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Cited by
A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems
Dehghanpour, K., Wang, Z., Wang, J., Yuan, Y., & Bu, F. (2019) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2018.2870600 · Cited by 485
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
Detection and Differentiation of Replay Attack and Equipment Faults in SCADA Systems
Li, D., Gebraeel, N., & Paynabar, K. (2021) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2020.3013760 · Cited by 68
Metadata
- Authors
- Yu, Z.-H., & Chin, W.-L.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2015-05
- Volume
- 6
- Issue
- 3
- Pages
- 1219-1226
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2075565671
- Cited by
- 305
- References
- 26
- FWCI
- 23.82
- 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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