Resilient Distributed State Estimation Under Stealthy Attack

Lv, Yujiao; Lu, Jianquan; Liu, Yang; Lou, Jungang

doi:10.1109/tifs.2022.3202119

Cited by 16 publications

(4 citation statements)

References 28 publications

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“…As mentioned before, previous work focused more on centralised multi-sensor systems or single sensor systems, rather than on distributed systems. With the all-round development of computation and communication capabilities in sensor networks, distributed estimation is widely applied in networked multi-sensor systems due to its high robustness, scalability and flexibility [9,18]. However, since information sharing and data transmission are constrained by the inherent coupling relationship between different nodes, distributed sensor networks are more vulnerable to various cyber attacks [19,20].…”

Section: Introductionmentioning

confidence: 99%

“…Governed by multi-random variables with Bernoulli distribution, a unified hybrid attack model considering the joint impact of random FDI and DoS attacks is proposed. Different from cyber attacks on the sensor-to-estimator communication chan-nel in [13,18], the proposed hybrid attack disrupts the data transmission between neighboring estimators in the distributed consensus estimation.…”

Section: Introductionmentioning

confidence: 99%

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Distributed Consensus Estimation for Networked Multi-Sensor Systems under Hybrid Attacks and Missing Measurements

Cheng,

Yang,

Yuan

et al. 2024

Sensors

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Cyber-security research on networked multi-sensor systems is crucial due to the vulnerability to various types of cyberattacks. For the development of effective defense measures, attention is required to gain insight into the complex characteristics and behaviors of cyber attacks from the attacker’s perspective. This paper aims to tackle the problem of distributed consensus estimation for networked multi-sensor systems subject to hybrid attacks and missing measurements. To account for both random denial of service (DoS) attacks and false data injection (FDI) attacks, a hybrid attack model on the estimator-to-estimator communication channel is presented. The characteristics of missing measurements are defined by random variables that satisfy the Bernoulli distribution. Then a modified consensus-based distributed estimator, integrated with the characteristics of hybrid attacks and missing measurements, is presented. For reducing the computational complexity of the optimal distributed estimation method, a scalable suboptimal distributed consensus estimator is designed. Sufficient conditions are further provided for guaranteeing the stability of the proposed suboptimal distributed estimator. Finally, a simulation experiment on aircraft tracking is executed to validate the effectiveness and feasibility of the proposed algorithm.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distributed Consensus Estimation for Networked Multi-Sensor Systems under Hybrid Attacks and Missing Measurements

Cheng,

Yang,

Yuan

et al. 2024

Sensors

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“…The insecure network environment of many real NCSs makes it necessary to consider the impacts of malicious attacks 16 . The attacks would threaten the security of real‐world systems unless the controller is properly designed 17,18 . DoS attack is a typical malicious attack launched by routers and jammers, 19 and it aims to cause instability by blocking communication between system components 20 .…”

Section: Introductionmentioning

confidence: 99%

“…16 The attacks would threaten the security of real-world systems unless the controller is properly designed. 17,18 DoS attack is a typical malicious attack launched by routers and jammers, 19 and it aims to cause instability by blocking communication between system components. 20 Different from stochastic packet loss, DoS attacks may not be launched based on probabilistic models.…”

Section: Introductionmentioning

confidence: 99%

Dynamic quantization‐driven stability of networked control systems under DoS attacks

Li,

Zhang,

Sun

et al. 2023

Intl J Robust & Nonlinear

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This paper focuses on the stability problem of networked control systems (NCSs) under denial‐of‐service (DoS) attacks and bandwidth limitation. Firstly, the periodic dynamic quantization mechanism is extended to insecure systems, and a periodic‐like quantization strategy is proposed. Due to the designable period, such mechanism allows a trade‐off between better system performance and less energy consumption. With finite quantization levels, a reasonable parametric design is given to avoid quantizer saturation under general energy‐constrained DoS attacks. Secondly, a suitable quantized controller is designed for the system affected by DoS attacks. The relationship between the quantized controller and the DoS attacks is analyzed, and the criterion for NCSs achieving global asymptotic stability is derived. Finally, two numerical examples are given to verify the correctness of the theoretical result.

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Vulnerability analysis of distributed state estimation under joint deception attacks

Wang,

Liu,

Han

et al. 2023

Automatica

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Resilient Distributed State Estimation Under Stealthy Attack

Cited by 16 publications

References 28 publications

Distributed Consensus Estimation for Networked Multi-Sensor Systems under Hybrid Attacks and Missing Measurements

Distributed Consensus Estimation for Networked Multi-Sensor Systems under Hybrid Attacks and Missing Measurements

Dynamic quantization‐driven stability of networked control systems under DoS attacks

Vulnerability analysis of distributed state estimation under joint deception attacks

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