False Data Injection Attack and Defense Method on Load Frequency Control

Li, Yuancheng; Huang, Rong; Ma, Longqiang

doi:10.1109/jiot.2020.3021429

Cited by 41 publications

(7 citation statements)

References 31 publications

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“…Modelling of FDI attacks and the protection schemes were presented in [6–13, 15, 48–50] to analyse the vulnerabilities of the system and defend against cyberattacks. For instance, Kim and Tong [6] developed an undetectable attack model followed by a PMU‐placement‐based defence strategy using a graph‐theoretic condition to defend against FDI attacks.…”

Section: Related Workmentioning

confidence: 99%

Vulnerability assessment and defence strategy to site distributed generation in smart grid

Nayak

Al‐Anbagi

2022

IET Smart Grid

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False data injection (FDI) attacks tamper with the state estimation data and can pose significant threats to the smart grid. The vulnerability analysis and defence strategies may help to mitigate the impact of these attacks. However, existing research efforts have not addressed the computational power and accuracy issues in the vulnerability analysis and defence mechanisms using realistic test environments. In this work, the authors present a novel low-complexity FDI attacks model to perform the vulnerability analysis. The authors develop a reduced-row-echelon-form-based greedy algorithm using the non-linear power flow system to generate FDI attacks more accurately. Later, the authors propose a novel optimal defence strategy by developing a greedy algorithm. The authors' algorithm finds the optimal power assets' locations and defends against hidden FDI attacks with low computation cost. Finally, the authors utilize the proposed AC-based attack and defence models to identify secure sites for distributed generation (DG) in the smart grid. The authors' experimental results for various IEEE standard test systems show enhanced accuracy of the attack and defence algorithms. The authors also validate the effectiveness of the proposed approaches in finding secure sites for DG units in the smart grid.

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Section: Related Workmentioning

confidence: 99%

Vulnerability assessment and defence strategy to site distributed generation in smart grid

Nayak

Al‐Anbagi

2022

IET Smart Grid

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“…The research of data‐driven algorithms allows this limitation to be overcome. Li et al 33 proposed the false data injection attack detection and defense mechanism based on the GAN network. Chen et al 34 presented a data‐driven resilient automatic generation control scheme for physical power systems under a false data injection attack.…”

Section: Introductionmentioning

confidence: 99%

Sampled‐data control for cyber physical systems via identifying false data injection attacks

Yu,

Wei,

Jia

et al. 2023

Adaptive Control & Signal

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SummaryIn this paper, we discuss the security control problem of cyber physical systems based on identifying false data injection attacks. First, the unknown adversary randomly attacks the measurement output, a mechanism is set in the sensor to update the measurement output to the constant, called the one‐valued quantized mechanism. Then, the Bienayme–Chebyshev inequality and the one‐valued quantized mechanism are utilized to design an identification algorithm, the estimated value of the false data injection attack and the minimum identification time can be obtained. Furthermore, based on the LMI theory, sampled‐data control gains with and without attacks are obtained to ensure the system mean‐square exponential stable, respectively. And the corresponding maximum sampling period of the controller is obtained. Finally, numerical examples verify the correctness and effectiveness of the theory.

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“…The two sides of attack and defense are modeled as game models, and the optimal attack and defense strategies are obtained with the help of the min–max Q learning method under the optimization framework 9 . Different from the above results, some secure control schemes are proposed based on the attack detection mechanism 10,11 . The problem of attack detection and recovery of FDI attacks in the network control system is studied 12 .…”

Section: Introductionmentioning

confidence: 99%

“…9 Different from the above results, some secure control schemes are proposed based on the attack detection mechanism. 10,11 The problem of attack detection and recovery of FDI attacks in the network control system is studied. 12 Multiple sensors measure the same physical quantity, and residual redundancy is constructed through different measurement values to increase the resilience of the system to attacks and faults.…”

mentioning

confidence: 99%

Adaptive observer‐based attack estimation and event‐triggered security control for UAVs

Pan

Lyu

Yang

2023

Adaptive Control & Signal

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Summary With the increasingly close connection between unmanned aerial vehicles (UAV) and communication networks, it is facing an increasing number of cybersecurity threats. In this article, an event‐triggered security control problem for UAVs is investigated under the tampered input signal sent by the ground control station. First, a linear model of the lateral movement of UAV is established and the attack description is given. Second, an adaptive observer is developed to reconstruct the attack signal. The reconstructed signal is compensated as system disturbance, and then the safety control strategy with event‐triggered mechanism (ETM) is designed. Furthermore, through the time interval analysis approach, the ETM, state observer, controller and attack signal are unified into a new augment system. Then, the uniformly ultimately bounded analysis and controller/observer synthesis conditions are obtained by using piecewise Lyapunov–Krasovskii functional methods. Furthermore, a sufficient condition for the parameters involving controller gain, observer gain, and the ETM parameters is given via a linear matrix inequality. Finally, simulation results are conducted to verify the effectiveness of the proposed method.

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False Data Injection Attack and Defense Method on Load Frequency Control

Cited by 41 publications

References 31 publications

Vulnerability assessment and defence strategy to site distributed generation in smart grid

Vulnerability assessment and defence strategy to site distributed generation in smart grid

Sampled‐data control for cyber physical systems via identifying false data injection attacks

Adaptive observer‐based attack estimation and event‐triggered security control for UAVs

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