Revealing stealthy attacks in control systems
By André M. H. Teixeira, Iman Shames, Henrik Sandberg, Karl Henrik Johansson. Allerton Conference on Communication, Control, and Computing, 2012
295 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/ef8b811a20c8baefcc0046f7368cb3d6fe38f903
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Karl Henrik Johansson
- André M. H. Teixeira
- Kin Cheong Sou
- Henrik Sandberg
- Francesco Bullo
- Florian Dörfler
- Fabio Pasqualetti
- Mohammad Pirani
In Computer Networks and Communications
- Florian Dörfler
- Francesco Bullo
- Karl Henrik Johansson
- Fabio Pasqualetti
- André M. H. Teixeira
- Henrik Sandberg
- Kin Cheong Sou
- Alvaro A. Cárdenas
In Control and Systems Engineering
- André M. H. Teixeira
- Henrik Sandberg
- Karl Henrik Johansson
- Florian Dörfler
- Francesco Bullo
- Fabio Pasqualetti
- Kin Cheong Sou
- Anuradha M. Annaswamy
Citations in the corpus
- Control-Theoretic Methods for Cyberphysical Security: Geometric Principles for Optimal Cross-Layer Resilient Control Systems (2015, background): “Some initial results based on system design and reconfiguration for the detection of undetectable attacks are discussed in [14]–[16].”
- A Survey of Physics-Based Attack Detection in Cyber-Physical Systems (2018, background): “If we trust the sensors but do not trust either the actuators or the PLCs, then we can still detect attacks, unless they are zero-dynamic attacks [83, 102, 103] (although not all physical systems are vulnerable to these attacks).”
- Limiting the Impact of Stealthy Attacks on Industrial Control Systems (2016, background): “Similarly, some properties of the physical system, such as systems vulnerable to zero-dynamics attacks [61], unbounded systems [62], and highly non-linear or chaotic systems [48], can also prevent us from detecting attacks.”
- Secure Control Systems: A Quantitative Risk Management Approach (2015, methodology): “The outcome from the risk assessment methods may be used for risk treatment, which is also discussed in this article and related to previous work for static and dynamic systems, [18], [28], [29] and [19], [30], respectively.”
- A systems and control perspective of CPS security (2019, methodology): “In [169], [192], the method consists of baiting the attacker to reveal themselves by introducing an arbitrary offset in the system dynamics which guarantees that a worst-case attack proposed in [194] can be quickly detected.”