The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A secure control framework for resource-limited adversaries
Open accessAbstract
Cyber-secure networked control is modeled, analyzed, and experimentally illustrated in this paper. An attack space defined by the adversary's model knowledge, disclosure, and disruption resources is introduced. Adversaries constrained by these resources are modeled for a networked control system architecture. It is shown that attack scenarios corresponding to denial-of-service, replay, zero-dynamics, and bias injection attacks on linear time-invariant systems can be analyzed using this framework. Furthermore, the attack policy for each scenario is described and the attack's impact is characterized using the concept of safe sets. An experimental setup based on a quadruple-tank process controlled over a wireless network is used to illustrate the attack scenarios, their consequences, and potential counter-measures.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Rid, T. (2012) · Journal of Strategic Studies · doi:10.1080/01402390.2011.608939 · Cited by 716 · cited 1×
“As illustrative examples, we mention the cyber attacks on power transmission networks operated by SCADA systems reported in the public media [11], and the Stuxnet malware that supposedly infected an industrial control system and disrupted its operation [9, 21].”
Background
Cited by
Secure Cooperative Event-Triggered Control of Linear Multiagent Systems Under DoS Attacks
Feng, Z., & Hu, G. (2020) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2019.2892032 · Cited by 407
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
(2015) · IEEE Control Systems · doi:10.1109/mcs.2014.2364709 · Cited by 316
Self-citationState of the art of cyber-physical systems security: An automatic control perspective
Zacchia Lun, Y., D’Innocenzo, A., Smarra, F., Malavolta, I., & Di Benedetto, M. D. (2019) · Journal of Systems and Software · doi:10.1016/j.jss.2018.12.006 · Cited by 211
Joint attack detection and secure state estimation of cyber‐physical systems
Forti, N., Battistelli, G., Chisci, L., & Sinopoli, B. (2020) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.4724 · Cited by 29
Metadata
- Authors
- Teixeira, A., Shames, I., Sandberg, H., & Johansson, K. H.
- Venue
- Automatica
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 51
- Pages
- 135-148
- ISSN
- 0005-1098 (ISSN-L)
- OpenAlex
- W1972523481
- Cited by
- 1,187
- References
- 1
- FWCI
- 53.97
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A secure control framework for resource-limited adversaries. https://app.cochat.ai/papers/10.1016/j.automatica.2014.10.067
- The paper
- Teixeira, A., Shames, I., Sandberg, H., & Johansson, K. H. (2015). A secure control framework for resource-limited adversaries. Automatica. https://doi.org/10.1016/j.automatica.2014.10.067
Data sources
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.
