The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Cyber-physical attacks in power networks: Models, fundamental limitations and monitor design
Open accessAbstract
Future power networks will be characterized by safe and reliable functionality against physical and cyber attacks. This paper proposes a unified framework and advanced monitoring procedures to detect and identify network components malfunction or measurements corruption caused by an omniscient adversary. We model a power system under cyber-physical attack as a linear time-invariant descriptor system with unknown inputs. Our attack model generalizes the prototypical stealth, (dynamic) false-data injection and replay attacks. We characterize the fundamental limitations of both static and dynamic procedures for attack detection and identification. Additionally, we design provably-correct (dynamic) detection and identification procedures based on tools from geometric control theory. Finally, we illustrate the effectiveness of our method through a comparison with existing (static) detection algorithms, and through a numerical study.
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Cites
Zimmerman, R. D., Murillo-Sanchez, C. E., & Thomas, R. J. (2011) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2010.2051168 · Cited by 6,756
Detection of Abrupt Changes: Theory and Application
Riedel, K. S. (1994) · Technometrics · doi:10.1080/00401706.1994.10485821 · Cited by 3,518
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Wonham, W. M. (1979) · Springer eBooks · doi:10.1007/978-1-4684-0068-7 · Cited by 2,997
Abur, A., & Expósito, A. G. (2004) · CRC Press eBooks · doi:10.1201/9780203913673 · Cited by 2,974
Power System Dynamics and Stability
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False data injection attacks against state estimation in electric power grids
Liu, Y., Ning, P., & Reiter, M. K. (2009) · Proceedings of the 16th ACM conference on Computer and communications security · doi:10.1145/1653662.1653666 · Cited by 1,285
1Kron Reduction of Graphs with Applications to Electrical Networks
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Self-citationWonham, W. M. (1985) · Springer eBooks · doi:10.1007/978-1-4612-1082-5 · Cited by 809
Control Theory for Linear Systems
Trentelman, H. L., Stoorvogel, A. A., & Hautus, M. (2001) · Communications and Control Engineering · doi:10.1007/978-1-4471-0339-4 · Cited by 675
Differential-Algebraic Equations: Analysis and Numerical Solution
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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
Self-citationDesign Techniques and Applications of Cyberphysical Systems: A Survey
Khaitan, S. K., & McCalley, J. D. (2015) · IEEE Systems Journal · doi:10.1109/jsyst.2014.2322503 · Cited by 784
Review on cyber-physical systems
Liu, Y., Peng, Y., Wang, B., Yao, S., & Liu, Z. (2017) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2017.7510349 · Cited by 508
Detecting Cyber Attacks in Industrial Control Systems Using Convolutional Neural Networks
Kravchik, M., & Shabtai, A. (2018) · Proceedings of the 2018 Workshop on Cyber-Physical Systems Security and PrivaCy · doi:10.1145/3264888.3264896 · Cited by 355
Kravchik, M., & Shabtai, A. (2022) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2021.3050101 · Cited by 224
Metadata
- Authors
- Pasqualetti, F., Dorfler, F., & Bullo, F.
- Venue
- IEEE Conference on Decision and Control and European Control Conference
- Publisher
- IEEE
- Published
- 2011-12
- Pages
- 2195-2201
- OpenAlex
- W2086609129
- Cited by
- 277
- References
- 21
- FWCI
- 30.59
- Type
- conference paper
- Language
- en
- Open access
- green
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- Pasqualetti, F., Dorfler, F., & Bullo, F. (2011). Cyber-physical attacks in power networks: Models, fundamental limitations and monitor design. IEEE Conference on Decision and Control and European Control Conference. https://doi.org/10.1109/cdc.2011.6160641
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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.
