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Cited by 2,109

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

Pasqualetti, Fabio, Dorfler, Florian, Bullo, Francesco·2013·IEEE Transactions on Automatic Control

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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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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CoChat. (2026). Citation check: Attack Detection and Identification in Cyber-Physical Systems. https://app.cochat.ai/papers/10.1109/tac.2013.2266831
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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.