Attack-tolerant networked control system: an approach for detection the controller stealthy hijacking attack

Yaseen, Amer Atta; Bayart, Mireille

doi:10.1088/1742-6596/783/1/012022

“…In addition, there are several graph‐based techniques for identifying inherent network vulnerabilities that could be exploited by a malicious insider [22]. A technique based on the dependency graph is used to analyse dependencies among the identified vulnerabilities associated with insider attacks [23]. A tuple has been used to capture various variables based on an organisation structure [24] and to trace a sequence of attacks leading up to a safety violation.…”

Section: Introductionmentioning

confidence: 99%

In the mind of an insider attacker on cyber‐physical systems and how not being fooled

Ning

¹

,

Jiang

²

2020

IET cyber-phys. syst.

5

0

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“…This new viewpoint in control engineering has been successfully illustrated in many concrete casestudies (see, e.g., the references in[34], and[1,2,3,4,17,21,43,47,49,50,52,53,54,57,55,66,72,81,82,87,88,89,90,91,94,95]). Some of the methods have been patented and some have been applied to life sciences[35,43,47,57,81].…”

mentioning

confidence: 96%

Toward a model-free feedback control synthesis for treating acute inflammation

Bara

¹

,

Fliesś

²

,

Join

³

et al. 2018

Journal of Theoretical Biology

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An effective and patient-specific feedback control synthesis for inflammation resolution is still an ongoing research area. A strategy consisting of manipulating a pro and anti-inflammatory mediator is considered here as used in some promising model-based control studies. These earlier studies, unfortunately, suffer from the difficultly of calibration due to the heterogeneity of individual patient responses even under similar initial conditions. We exploit a new model-free control approach and its corresponding "intelligent" controllers for this biomedical problem. A crucial feature of the proposed control problem is as follows: the two most important outputs which must be driven to their respective desired states are sensorless. This difficulty is overcome by assigning suitable reference trajectories to the other two outputs that do have sensors. A mathematical model, via a system of ordinary differential equations, is nevertheless employed as a "virtual" patient for in silico testing. We display several simulation results with respect to the most varied situations, which highlight the effectiveness of our viewpoint.

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Toward a model-free feedback control synthesis for treating acute inflammation

Bara

¹

,

Fliess

²

,

Join

³

et al. 2018

Preprint

View full text Add to dashboard Cite

An effective and patient-specific feedback control synthesis for inflammation resolution is still an ongoing research area. A strategy consisting of manipulating a pro and anti-inflammatory mediator is considered here as used in some promising model-based control studies. These earlier studies, unfortunately, suffer from the difficultly of calibration due to the heterogeneity of individual patient responses even under similar initial conditions. We exploit a new model-free control approach and its corresponding "intelligent" controllers for this biomedical problem. A crucial feature of the proposed control problem is as follows: the two most important outputs which must be driven to their respective desired states are sensorless. This difficulty is overcome by assigning suitable reference trajectories to the other two outputs that do have sensors. A mathematical model, via a system of ordinary differential equa-

show abstract

Attack-tolerant networked control system: an approach for detection the controller stealthy hijacking attack

Cited by 4 publications

References 16 publications

In the mind of an insider attacker on cyber‐physical systems and how not being fooled

In the mind of an insider attacker on cyber‐physical systems and how not being fooled

Toward a model-free feedback control synthesis for treating acute inflammation

Toward a model-free feedback control synthesis for treating acute inflammation

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