Quantifying Security for Networked Control Systems: A Review
October 21, 2025 Β· The Cartographer Β· π arXiv.org
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"Title-pattern auto-detect: Quantifying Security for Networked Control Systems: A Review"
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Authors
Sribalaji C. Anand, Anh Tung Nguyen, AndrΓ© M. H. Teixeira, Henrik Sandberg, Karl H. Johansson
arXiv ID
2510.18645
Category
eess.SY: Systems & Control (EE)
Cross-listed
cs.CR
Citations
2
Venue
arXiv.org
Last Checked
4 days ago
Abstract
Networked Control Systems (NCSs) are integral in critical infrastructures such as power grids, transportation networks, and production systems. Ensuring the resilient operation of these large-scale NCSs against cyber-attacks is crucial for societal well-being. Over the past two decades, extensive research has been focused on developing metrics to quantify the vulnerabilities of NCSs against attacks. Once the vulnerabilities are quantified, mitigation strategies can be employed to enhance system resilience. This article provides a comprehensive overview of methods developed for assessing NCS vulnerabilities and the corresponding mitigation strategies. Furthermore, we emphasize the importance of probabilistic risk metrics to model vulnerabilities under adversaries with imperfect process knowledge. The article concludes by outlining promising directions for future research.
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