The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Attack Detection and Identification in Cyber-Physical Systems
Abstract
Cyber-physical systems are ubiquitous in power systems, transportation networks, industrial control processes, and critical infrastructures. These systems need to operate reliably in the face of unforeseen failures and external malicious attacks. In this paper: (i) we propose a mathematical framework for cyber-physical systems, attacks, and monitors; (ii) we characterize fundamental monitoring limitations from system-theoretic and graph-theoretic perspectives; and (ii) we design centralized and distributed attack detection and identification monitors. Finally, we validate our findings through compelling examples.
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Cites
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Survey of intrusion detection systems: Techniques, datasets and challenges
Khraisat, A., Gondal, I., Vamplew, P., & Kamruzzaman, J. (2019) · Cybersecurity · doi:10.1186/s42400-019-0038-7 · Cited by 2,024
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
The Cybersecurity Landscape in Industrial Control Systems
McLaughlin, S., Konstantinou, C., Wang, X., Davi, L., Sadeghi, A.-R., Maniatakos, M., & Karri, R. (2016) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2512235 · Cited by 391
Distributed Krein space-based attack detection over sensor networks under deception attacks
Ge, X., Han, Q.-L., Zhong, M., & Zhang, X.-M. (2019) · Automatica · doi:10.1016/j.automatica.2019.108557 · Cited by 341
Secure Control Systems: A Quantitative Risk Management Approach
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Metadata
- Authors
- Pasqualetti, F., Dorfler, F., & Bullo, F.
- Venue
- IEEE Transactions on Automatic Control
- Published
- 2013-11
- Volume
- 58
- Issue
- 11
- Pages
- 2715-2729
- ISSN
- 0018-9286 (ISSN-L)
- 1558-2523
- OpenAlex
- W2003530067
- Cited by
- 2,109
- References
- 33
- FWCI
- 99.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- Pasqualetti, F., Dorfler, F., & Bullo, F. (2013). Attack Detection and Identification in Cyber-Physical Systems. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.2013.2266831
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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.