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Malicious Data Attacks on Smart Grid State Estimation: Attack Strategies and Countermeasures
Abstract
The problem of constructing malicious data attack of smart grid state estimation is considered together with countermeasures that detect the presence of such attacks. For the adversary, using a graph theoretic approach, an efficient algorithm with polynomial-time complexity is obtained to find the minimum size unobservable malicious data attacks. When the unobservable attack does not exist due to restrictions of meter access, attacks are constructed to minimize the residue energy of attack while guaranteeing a certain level of increase of mean square error. For the control center, a computationally efficient algorithm is derived to detect and localize attacks using the generalized likelihood ratio test regularized by an L1norm penalty on the strength of attack.
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Cites
Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505
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
Attacks against process control systems: risk assessment, detection, and response
Cárdenas, A. A., Amin, S., Lin, Z.-S., Huang, Y.-L., Huang, C.-Y., & Sastry, S. (2011) · Proceedings of the 6th ACM Symposium on Information, Computer and Communications Security · doi:10.1145/1966913.1966959 · Cited by 699
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
Metadata
- Authors
- Kosut, O., Jia, L., Thomas, R. J., & Tong, L.
- Venue
- 2010 First IEEE International Conference on Smart Grid Communications
- Publisher
- IEEE
- Published
- 2010-10
- Pages
- 220-225
- OpenAlex
- W2033939184
- Cited by
- 348
- References
- 1
- FWCI
- 46.12
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Kosut, O., Jia, L., Thomas, R. J., & Tong, L. (2010). Malicious Data Attacks on Smart Grid State Estimation: Attack Strategies and Countermeasures. 2010 First IEEE International Conference on Smart Grid Communications. https://doi.org/10.1109/smartgrid.2010.5622045
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