Observer-Based Event-Triggered Control for Networked Linear Systems Subject to Denial-of-Service Attacks

Hu, Songlin; Yue, Dong; Han, Qing‐Long; Xie, Xiangpeng; Chen, Xiaoli; Dou, Chunxia

doi:10.1109/tcyb.2019.2903817

Cited by 288 publications

(110 citation statements)

References 47 publications

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“…Proof: See the Appendix. Remark 8: It is clearly shown in Theorems 1 and 2 that the proposed ellipsoidal set-membership filtering problem can be cast into the feasibility problem of a set of recursive linear matrix inequalities (RLMIs) (20) and (21). Thus, Theorems 1 and 2 provide criteria for designing two ellipsoidal sets which always have intersection since they both guarantee to contain the true state x i k+1 in an attack-free system.…”

Section: Distributed Attack Detection and Recovery Mechanism Desmentioning

confidence: 99%

“…In light of Theorems 1 and 2, for the i-th attack-free vehicle, the one-step ahead state x i k+1 always resides in both the state prediction ellipsoidal set X i k+1|k and its updated state estimation ellipsoidal set X i k+1 if (20) and (21) hold. Therefore, there exists a vector z satisfying z ≤ 1 such that x i k+1 =x i k+1|k + E i k+1|k z and x i k+1 =x i k+1 + E i k+1 z, respectively.…”

Section: B Recursive Convex Optimization and Cyber Attack Detection mentioning

confidence: 99%

“…Readers are referred to the survey papers [16]- [20] and many references therein for some latest results. Generally, there exist mainly two types of cyber attacks which can deteriorate the performance of VANET, namely denial-of-service (DoS) attacks and deception attacks [21], [22]. DoS attacks are aimed at jamming the communication channels in order to prevent information exchange between vehicles.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Distributed Cyber Attacks Detection and Recovery Mechanism for Vehicle Platooning

Mousavinejad

Yang

Han

et al. 2020

IEEE Trans. Intell. Transport. Syst.

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127

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This paper is concerned with the distributed attack detection and recovery in a vehicle platooning control system, wherein inter-vehicle information is propagated via a wireless communication network. An active adversary may launch malicious cyber attacks to compromise both sensor measurements and control command data due to the openness of the wireless communication. First, a distributed attack detection algorithm is developed to identify any of those attacks. The core of the algorithm lies in that each designed filter can provide two ellipsoidal sets: a state prediction set and a state estimation set. Whether a filter can detect the occurrence of such an attack is determined by the existence of intersection between these two sets. Second, two recovery mechanisms are put forward, through which the adversarial effects of cyber attacks can be mitigated in a timely manner. The recovery mechanisms depend on reliable modifications of the attacked signals required for the computation of the two ellipsoidal sets. Finally, simulation is provided to validate the effectiveness of the proposed method in both detection and recovery phases.

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Section: Distributed Attack Detection and Recovery Mechanism Desmentioning

confidence: 99%

Section: B Recursive Convex Optimization and Cyber Attack Detection mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Distributed Cyber Attacks Detection and Recovery Mechanism for Vehicle Platooning

Mousavinejad

Yang

Han

et al. 2020

IEEE Trans. Intell. Transport. Syst.

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127

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“…Some e ective manners such as event-triggered scheme (ETS) [10], signal quantization [11], and real-time scheduling [12,13] have been proposed to save communication resources and reduce computation burden. Recently, ETS has gained growing attention and interests in existing research studies [14][15][16][17][18][19][20][21][22][23] for its simplicity of execution and e ectiveness of reducing data transmissions. Due to this fact, the idea of ETS is introduced into security control for CPSs and has produced many interesting results [24][25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Nonfragile Integral‐Based Event‐Triggered Control of Uncertain Cyber‐Physical Systems under Cyber‐Attacks

2019

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This article studies the problem of nonfragile integral-based event-triggered control for uncertain cyber-physical systems under cyber-attacks. An integral-based event-triggered scheme is proposed to reduce the data transmissions and save the limited network resources. The triggering condition is related to the mean of system state over a finite time interval instead of instant system state. Random cyber-attacks in a communication channel are taken into account and described by a stochastic variable subject to Bernoulli distribution. A novel Lyapunov–Krasovskii functional based on Legendre polynomials is constructed, and the Bessel–Legendre inequality technique is employed to handle the integral term induced by the integral-based event-triggered scheme. Resorting to these treatments, sufficient conditions are established via a set of linear matrix inequalities to guarantee the asymptotic mean-square stability of the closed-loop system. Finally, a numerical example shows that the presented method is effective.

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“…From the attacker's perspective, the security studies fasten on the design of optimal attack strategies, to provide a guide role for CPS protection . The denial‐of‐service (DoS) attack as the most reachable attack pattern, aiming at jamming wireless communication channels and resulting in degradation of the system performance, has been widely investigated by proposing different secure strategies . Moreover, various types of optimal DoS attack strategies under different frameworks have been constructed under a natural constraint, ie, limited energy budget .…”

Section: Introductionmentioning

confidence: 99%

Data‐based optimal Denial‐of‐Service attack scheduling against robust control based on Q‐learning

Yang

2019

Intl J Robust & Nonlinear

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Attack optimization is an important issue in securing cyber-physical systems. This paper investigates how an attacker should schedule its denial-of-service attacks to degrade the robust performance of a closed-loop system. The measurements of system states are transmitted to a remote controller over a multichannel network. With limited resources, the attacker only has the capacity to jam sparse channels and to decide which channels should be attacked. Under an  2 framework, a data-based optimal attack strategy that uses Q-learning is proposed to maximize the effect on the closed-loop system. The Q-learning algorithm can adaptively learn the optimal attack using data sniffed over the wireless network without requiring a priori knowledge of system parameters. Simulation results sustain the performance of the proposed attack scenario. KEYWORDS Cyber-physical systems, DoS attacks, multichannel transmission, Q-learning, robust control 5178 FIGURE 1 System architecture. DoS, denial of service [Colour figure can be viewed at wileyonlinelibrary.com] on perfect communication if there is no DoS attack, the work of Qin et al 17 further studies the problem of DoS attack strategy design over unreliable networks where the packet dropouts may also occur even in the absence of attacks.Note that the aforementioned results on the optimal DoS attack design are established based on the remote state estimation framework (degrade the estimation quality). To fill this gap from the aspect of closed-loop control performance, the works by Amin et al and Zhang et al 18,19 develop the optimal DoS attack scheduling against linear quadratic Gaussian (LQG) control. Further, the work reported by Zhang and Zheng 20 considers the problem of optimal attack power dispatch for CPSs within the LQG framework. In the work of Gupta et al, 21 a game theory approach is proposed to design the jamming attack strategy, which can destroy a finite-time linear quadratic control performance.Most previous attack strategies require a large amount of exact system information, including physical system parameters and the network topology. However, adversaries are often with limited resources, and as a result, the likelihood to access the complete knowledge of system parameters is either infeasible or very difficult to achieve. 22,23 Recently, some data-driven false data injection attack design schemes have been developed. 4,24 However, there are few studies undertaking an analysis of the data-driven DoS attacks. Moreover, the system robustness, which is the ability of a CPS against exogenous interference, is also an important security metric, which is concerned by both defenders and attackers and has not been analyzed yet.Motivated by these, this paper investigates the problem of DoS attack scheduling against robust control for a CPS with multichannel transmission (see Figure 1). The measurement signals of the CPS are clustered into multiple groups and sent via multiple wireless channels. Here, we assume that the DoS attacker has no knowledge of system parameters, ...

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Observer-Based Event-Triggered Control for Networked Linear Systems Subject to Denial-of-Service Attacks

Cited by 288 publications

References 47 publications

Distributed Cyber Attacks Detection and Recovery Mechanism for Vehicle Platooning

Distributed Cyber Attacks Detection and Recovery Mechanism for Vehicle Platooning

Nonfragile Integral‐Based Event‐Triggered Control of Uncertain Cyber‐Physical Systems under Cyber‐Attacks

Data‐based optimal Denial‐of‐Service attack scheduling against robust control based on Q‐learning

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