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Modeling Load Redistribution Attacks in Power Systems
Abstract
State estimation is a key element in today's power systems for reliable system operation and control. State estimation collects information from a large number of meter measurements and analyzes it in a centralized manner at the control center. Existing state estimation approaches were traditionally assumed to be able to tolerate and detect random bad measurements. They were, however, recently shown to be vulnerable to intentional false data injection attacks. This paper fully develops the concept of load redistribution (LR) attacks, a special type of false data injection attacks, and analyzes their damage to power system operation in different time steps with different attacking resource limitations. Based on damaging effect analysis, we differentiate two attacking goals from the adversary's perspective, i.e., immediate attacking goal and delayed attacking goal. For the immediate attacking goal, this paper identifies the most damaging LR attack through a max-min attacker-defender model. Then, the criterion of determining effective protection strategies is explained. The effectiveness of the proposed model is tested on a 14-bus system. To the author's best knowledge, this is the first work of its kind, which quantitatively analyzes the damage of the false data injection attacks to power system operation and security. Our analysis hence provides an in-depth insight on effective attack prevention with limited protection resource budget.
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Cited by
Smart Grid — The New and Improved Power Grid: A Survey
Fang, X., Misra, S., Xue, G., & Yang, D. (2012) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2011.101911.00087 · Cited by 3,405
The 2015 Ukraine Blackout: Implications for False Data Injection Attacks
Liang, G., Weller, S. R., Zhao, J., Luo, F., & Dong, Z. Y. (2017) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2016.2631891 · Cited by 1,248
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
Secure Fusion Estimation for Bandwidth Constrained Cyber-Physical Systems Under Replay Attacks
Chen, B., Ho, D. W. C., Hu, G., & Yu, L. (2018) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2716115 · Cited by 336
Modeling Cyber-Physical Vulnerability of the Smart Grid With Incomplete Information
Srivastava, A., Morris, T., Ernster, T., Vellaithurai, C., Pan, S., & Adhikari, U. (2013) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2232318 · Cited by 169
Metadata
- Authors
- Yuan, Y., Li, Z., & Ren, K.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2011-06
- Volume
- 2
- Issue
- 2
- Pages
- 382-390
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2122559297
- Cited by
- 545
- References
- 0
- FWCI
- 27.58
- Type
- journal article
- Language
- en
- Open access
- closed
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