The DOI matches its Crossref record; 63 of the 64 references it cites were found in a registry or an index.
Secure Control Systems: A Quantitative Risk Management Approach
Abstract
Critical infrastructures must continuously operate safely and reliably, despite a variety of potential system disturbances. Given their strict operating requirements, such systems are automated and controlled in real time by several digital controllers receiving measurements from sensors and transmitting control signals to actuators. Since these physical systems are often spatially distributed, there is a need for information technology (IT) infrastructures enabling the timely data flow between the system components. These networked control systems are ubiquitous in modern societies [1]. Examples include the electric power network, intelligent transport systems, and industrial processes.
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“Teixeira et al. extended this analysis to propose that detection and mitigation of stealthy attacks requires verification mechanisms that operate at the data origin at the sensor level rather than at intermediate network monitoring points, a principle embodied in the device-level telemetry signing requirement of the proposed architecture.[31]”
From Zero Trust Architecture for Smart Factories: Securing Digital Twins and Cyber-Physical OT Systems (2026) · cites this paper as [31]
In the citing paper
“Teixeira et al. further formalized the safety-security tension in industrial systems, proposing co-design frameworks that treat security and functional safety as joint optimization objectives rather than sequential design concerns an approach that directly informs the three principles below.[31]”
From Zero Trust Architecture for Smart Factories: Securing Digital Twins and Cyber-Physical OT Systems (2026) · cites this paper as [31]
In the citing paper
“Teixeira et al. provide a formal treatment of this asymmetry in safety-critical cyberphysical systems, supporting the design decision to preserve safety function continuity as the overriding constraint at those boundaries.[31]”
From Zero Trust Architecture for Smart Factories: Securing Digital Twins and Cyber-Physical OT Systems (2026) · cites this paper as [31]
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Metadata
- Authors
- Teixeira, A. M. H., Sou, K. C., Sandberg, H., & Johansson, K. H.
- Affiliations
- KTH Royal Institute of Technology (SE)
- Chalmers University of Technology (SE)
- Swedish Research Council (SE)
- Venue
- IEEE Control Systems
- Published
- 2015-02
- Volume
- 35
- Issue
- 1
- Pages
- 24-45
- ISSN
- 1066-033X (ISSN-L)
- 1941-000X
- OpenAlex
- W1987806716
- Cited by
- 316
- References
- 64
- Citations by year
- 2026: 14 · 2025: 25 · 2024: 27 · 2023: 36 · 2022: 23 · 2021: 23 · 2020: 37 · 2019: 37 · 2018: 32 · 2017: 22 · 2016: 30 · 2015: 10
- FWCI
- 29.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Control Systems (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Chalmers Publication Library (Chalmers University of Technology) (submittedVersion)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- Funders
- European Commission
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Keywords
- quantitative risk management, networked control systems, critical infrastructure, cyber-physical security, real-time control, distributed control, IT infrastructure
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 ›
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