Control of Nonlinear Cyber-Physical Systems under Attack Using Higher Order Sliding Mode Observer

Nateghi, Shamila; Shtessel, Yuri B.; Rajesh, R J; Das, Siddharth Sankar

doi:10.1109/ccta41146.2020.9206251

Cited by 5 publications

(4 citation statements)

References 17 publications

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“…While other relevant effects, such as the digitalization process or the transmission protocols, are not considered, although they can be relevant. On the other hand, nonlinear models are very rare [47] and they are only developed for specific use cases. This centralized approach is successful against false information attacks (also known as sparse sensor attacks or deception attacks [14]), as it handles a full picture of the CPS.…”

Section: Related Workmentioning

confidence: 99%

Stochastic Models to Mitigate Sparse Sensor Attacks in Continuous-Time Non-Linear Cyber-Physical Systems

Bordel S醤chez,

Alcarria,

Robles

2023

Computers, Materials &Amp; Continua

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Cyber-Physical Systems are very vulnerable to sparse sensor attacks. But current protection mechanisms employ linear and deterministic models which cannot detect attacks precisely. Therefore, in this paper, we propose a new non-linear generalized model to describe Cyber-Physical Systems. This model includes unknown multivariable discrete and continuous-time functions and different multiplicative noises to represent the evolution of physical processes and random effects in the physical and computational worlds. Besides, the digitalization stage in hardware devices is represented too. Attackers and most critical sparse sensor attacks are described through a stochastic process. The reconstruction and protection mechanisms are based on a weighted stochastic model. Error probability in data samples is estimated through different indicators commonly employed in non-linear dynamics (such as the Fourier transform, first-return maps, or the probability density function). A decision algorithm calculates the final reconstructed value considering the previous error probability. An experimental validation based on simulation tools and real deployments is also carried out. Both, the new technology performance and scalability are studied. Results prove that the proposed solution protects Cyber-Physical Systems against up to 92% of attacks and perturbations, with a computational delay below 2.5 s. The proposed model shows a linear complexity, as recursive or iterative structures are not employed, just algebraic and probabilistic functions. In conclusion, the new model and reconstruction mechanism can protect successfully Cyber-Physical Systems against sparse sensor attacks, even in dense or pervasive deployments and scenarios.

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Section: Related Workmentioning

confidence: 99%

Stochastic Models to Mitigate Sparse Sensor Attacks in Continuous-Time Non-Linear Cyber-Physical Systems

Bordel S醤chez,

Alcarria,

Robles

2023

Computers, Materials &Amp; Continua

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“…Industrial control system safety related research is relatively more worthy of our reference. Nateghi et al [7] studied online security state estimation and attack reconstruction problems to design resilient controllers for systems. The effectiveness of this technique is verified by the simulation of real power system attack.…”

Section: Introductionmentioning

confidence: 99%

Research on information security of urban traffic control system based on tripartite evolutionary game

Li,

Pan,

Wang

et al. 2024

Preprint

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In recent years, emerging technologies such as smart cities, Urban Traffic brains, and car networking are vigorously promoting the intelligent development of urban traffic signals, which means that the Urban Traffic Control (UTC) system will interact with more and more network and physical terminals, which will lead to more malicious attacks and information destruction. It will be a great threat to the personal and property safety of participants in urban traffic. In response to this severe demand, this paper studied the network topology of UTC system and based on the tripartite evolutionary game theory (TEG), A Signal control security game model involving attackers, Upper Computer (UC) and Traffic Signal Machine (TSM) is designed, and the evolutionary stability of strategy selection of each participant is analyzed. This paper discusses the comprehensive judgment principle of each element on attack cost and defense cost, compares the influence of tripartite strategy selection, and further analyzes the stability of equilibrium point in tripartite evolutionary information security game system with Lyapunov's first method. Finally, by using real data and MATLAB simulation analysis, the impact of key parameters such as attack cost, defense cost and detection rate on information security game participants is verified, making theoretical contributions to enhancing the security of urban traffic signal control system.

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“…Most of the recent studies on the security of CPSs investigate protection of CPSs to prevent the attacks, detecting the attack, and mitigating the effects of attacks [14][15][16][17][18][19][20][21][22][23][24][25][26]. Quite a few results on the elimination of the effects of attacks have been reported [27][28][29][30][31][32]. In this paper, the objective is to eliminate the destructive effects of attacks, although some considered constraints and assumptions in the recent studies have been removed.…”

Section: Introductionmentioning

confidence: 99%

“…An approach to protect nonlinear CPS from attack using on-exact reconstruction techniques based on computationally intensive higher order sliding mode (HOSM) differentiator was proposed in literature [27][28][29][30]. They assume that the attacks are bounded with known boundary.…”

Section: Introductionmentioning

confidence: 99%

Resilient control of cyber‐physical systems using adaptive super‐twisting observer

Nateghi

Shtessel

Edwards

et al. 2022

Asian Journal of Control

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In this work, the problem of online secure state estimation and attack reconstruction in the face of offensives that corrupt the sensor measurements and modify the actuator commands of cyber–physical systems is investigated for designing a resilient controller for the system. The states of cyber–physical system and its actuator attacks are estimated/reconstructed online using a novel adaptive line‐by‐line super‐twisting observer, whereas sparse stealth attacks on unprotected sensors are reconstructed using a sparse recovery algorithm. The estimated attacks are used for attack compensation by a resilient controller. The efficacy of the proposed technique is illustrated via simulation on a real electric power system under deception actuator attack and stealth sensor attack.

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Control of Nonlinear Cyber-Physical Systems under Attack Using Higher Order Sliding Mode Observer

Cited by 5 publications

References 17 publications

Stochastic Models to Mitigate Sparse Sensor Attacks in Continuous-Time Non-Linear Cyber-Physical Systems

Stochastic Models to Mitigate Sparse Sensor Attacks in Continuous-Time Non-Linear Cyber-Physical Systems

Research on information security of urban traffic control system based on tripartite evolutionary game

Resilient control of cyber‐physical systems using adaptive super‐twisting observer

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