Winning the battle with cyber risk identification tools in industrial control systems: A review.
- Published in:
- IET CyberPhysical Systems: Theory & Applications, 2024, v. 9, n. 4, p. 350, doi. 10.1049/cps2.12105
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- Publication type:
- Article
Works matching IS 23983396 AND DT 2024 AND VI 9 AND IP 4
Results: 15
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A three‐vector model predicting torque control of permanent magnet synchronous motor with a fixed weight coefficient.
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- IET CyberPhysical Systems: Theory & Applications, 2024, v. 9, n. 4, p. 509, doi. 10.1049/cps2.12104
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- Article
3
Cloud‐mediated self‐triggered synchronisation of a general linear multi‐agent system over a directed graph.
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- IET CyberPhysical Systems: Theory & Applications, 2024, v. 9, n. 4, p. 497, doi. 10.1049/cps2.12101
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- Article
4
Design of an efficient dynamic context‐based privacy policy deployment model via dual bioinspired Q learning optimisations.
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- IET CyberPhysical Systems: Theory & Applications, 2024, v. 9, n. 4, p. 477, doi. 10.1049/cps2.12100
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- Article
5
The threat of zero‐dynamics attack on non‐linear cyber‐physical systems.
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- IET CyberPhysical Systems: Theory & Applications, 2024, v. 9, n. 4, p. 463, doi. 10.1049/cps2.12099
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- Article
6
Resilience quantification model for cyber‐physical power systems.
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- IET CyberPhysical Systems: Theory & Applications, 2024, v. 9, n. 4, p. 454, doi. 10.1049/cps2.12098
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- Article
7
A graph embedding‐based approach for automatic cyber‐physical power system risk assessment to prevent and mitigate threats at scale.
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- IET CyberPhysical Systems: Theory & Applications, 2024, v. 9, n. 4, p. 435, doi. 10.1049/cps2.12097
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- Article
8
Cyber‐physical system model based on multi‐agent system.
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- IET CyberPhysical Systems: Theory & Applications, 2024, v. 9, n. 4, p. 424, doi. 10.1049/cps2.12096
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- Article
9
Joint safety and security risk analysis in industrial cyber‐physical systems: A survey.
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- IET CyberPhysical Systems: Theory & Applications, 2024, v. 9, n. 4, p. 334, doi. 10.1049/cps2.12095
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- Publication type:
- Article
10
A survey on detection and localisation of false data injection attacks in smart grids.
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- IET CyberPhysical Systems: Theory & Applications, 2024, v. 9, n. 4, p. 313, doi. 10.1049/cps2.12093
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- Article
11
Cyber‐physical‐based welding systems: Components and implementation strategies.
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- IET CyberPhysical Systems: Theory & Applications, 2024, v. 9, n. 4, p. 293, doi. 10.1049/cps2.12092
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- Article
12
A Petri net model for Time‐Delay Attack detection in Precision Time Protocol‐based networks.
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- IET CyberPhysical Systems: Theory & Applications, 2024, v. 9, n. 4, p. 407, doi. 10.1049/cps2.12088
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- Article
13
Leveraging graph clustering techniques for cyber‐physical system analysis to enhance disturbance characterisation.
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- IET CyberPhysical Systems: Theory & Applications, 2024, v. 9, n. 4, p. 392, doi. 10.1049/cps2.12087
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- Article
14
Real‐time implementation for vulnerability of power components under switching attack based on sliding mode.
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- IET CyberPhysical Systems: Theory & Applications, 2024, v. 9, n. 4, p. 375, doi. 10.1049/cps2.12084
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- Publication type:
- Article
15
Event‐triggered attack detection and state estimation based on Gaussian mixture model.
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- IET CyberPhysical Systems: Theory & Applications, 2024, v. 9, n. 4, p. 366, doi. 10.1049/cps2.12061
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- Publication type:
- Article