Hierarchical-Attention-Based Defense Method for Load Frequency Control System Against DoS Attack

Li, Yuancheng; Huang, Rong; Ma, Longqiang

doi:10.1109/jiot.2021.3073060

Cited by 24 publications

(8 citation statements)

References 25 publications

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“…Then, the m-th DoS attack strategy can be generated by A m = {a m } ∪ (a m , a m + τ m ) with a m+1 > a m + τ m , where τ m ≥ 0 denotes the m-th attack's duration. For a time instant t 0 and t ≥ t 0 , the sets of time instants in which communication is denied, are described by [15], [23]- [25] Ξ a (t…”

Section: E Dos Attack Modelmentioning

confidence: 99%

“…Remark 2. The random communication network and DoS attack models have been widely adopted in many existing related consensus works, e.g., [31]- [33] and [15], [23]- [25], respectively, with potential applications in the wireless sensor networks, power systems and robotic swarms. In addition, Definitions 1 and 2 have been introduced in [14] and [15] to specify the DoS attacks (see the recent survey paper in [25] for more details).…”

Section: E Dos Attack Modelmentioning

confidence: 99%

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Attack-Resilient Distributed Convex Optimization of Cyber–Physical Systems Against Malicious Cyber-Attacks Over Random Digraphs

Feng

2023

IEEE Internet Things J.

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This paper addresses a resilient exponential distributed convex optimization problem for a heterogeneous linear multi-agent system under Denial-of-Service (DoS) attacks over random digraphs. The random digraphs are caused by unreliable networks and the DoS attacks, allowed to occur aperiodically, refer to an interruption of the communication channels carried out by the intelligent adversaries. In contrast to many existing distributed convex optimization works over a perfect communication network, the global optimal solution might not be sought under the adverse influences that result in performance degradations or even failures of optimization algorithms. The aforementioned setting poses certain technical challenges to optimization algorithm design and exponential convergence analysis. In this work, several resilient algorithms are presented such that a team of agents minimizes a sum of local non-quadratic cost functions in a safe and reliable manner with the global exponential convergence. Numerical simulation results are further presented to validate the effectiveness of the proposed distributed approaches.

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Section: E Dos Attack Modelmentioning

confidence: 99%

Section: E Dos Attack Modelmentioning

confidence: 99%

Attack-Resilient Distributed Convex Optimization of Cyber–Physical Systems Against Malicious Cyber-Attacks Over Random Digraphs

Feng

2023

IEEE Internet Things J.

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“…Meanwhile, one can find that the train and test time is 39 s, optimization time of LQR is 36 s. As shown in Table 5, one can find that the recovery time of the proposed genetic optimization-based LQR controller defense method is 7.16 s. Obviously, compared with other defense works in [26] and [27], the proposed defense method can eliminate the impact of the malicious attack on the voltage in the shortest time to ensure the safe operation of the power grid. It is worth noting that the recovery time in the literature has been given in [34].…”

Section: Case 4: Performance Analysis On the Ieee 118-bus Grid Systemmentioning

confidence: 99%

A novel detection and defense mechanism against false data injection attack in smart grids

Cui

Gao

Guo

2023

IET Generation Trans & Dist

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As the next generation of green power system, smart grids have gradually enhanced the operation efficiency of power system. Meanwhile, the application of communication and intelligent technologies make the power grid more vulnerable to the emerging cyber‐physical attacks, such as the false data injection attack (FDIA). Particularly, the deception property of the FDIA on the output measurement estimation can fool the current security mechanism without triggering an alarm. Motivated by this problem, this paper aims at developing a novel detection and recovery mechanism against FDIA in smart grid. Based on the established state space grid model derived from the three‐phase sinusoidal voltage equations, an improved principal component analysis (PCA)‐based detection method is proposed. By introducing the mathematical transformation principle method, the detection performance such as detection rate and false positive rate can be improved. To keep the stable running of power system, a genetic optimization algorithm‐based linear quadratic regulator (LQR) defense method is developed. In addition, to improve the response performance to external attacks, an artificial intelligence method named genetic optimization algorithm is introduced to optimize the robust performance of the proposed defense method. Finally, the simulation results on the IEEE 6‐bus and 118‐bus grid system demonstrate the superiority of the proposed genetic algorithm optimization‐based LQR defense method.

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“…With the event‐triggered scheme extensively applied in power systems, event‐triggered LFC subject to DoS attack was investigated, such as event‐triggered H ∞ LFC with DoS [24] and resilient dynamic event‐triggered LFC power system under DoS attack [25]. In addition, some defence methods were designed against DoS attacks, for example, hierarchical attention‐based defence methods were applied in LFC power systems to offset DoS attacks [26]. Inspired by this, considering that the deception attack and DoS attack will interrupt the measurement data, the event‐trigger scheme can be applied to supplement the missing information.…”

Section: Introductionmentioning

confidence: 99%

Robust networked power system load frequency control against hybrid cyber attack

Sun

Dinavahi

et al. 2023

IET Smart Grid

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Modern network and communication technologies are essential for the implementation and operation of load frequency control (LFC) systems. The measurements of crucial LFC system parameters will be compromised by attackers, rendering data received by the defence inaccurate and causing frequency fluctuations or even system collapse. To detect the potential attack on measured data and keep the LFC performance, an adaptive event‐triggered scheme with fractional order global sliding mode control scheme is proposed in this paper. Furthermore, Markov theory is employed for the modelling process with energy storage to present a multi‐area LFC power system considering renewable energy and hybrid cyber attacks. Stability and stabilisation criteria are built by employing improved Lyapunov stability theory and second‐order Bessel‐Legendre inequality. Finally, a two‐area LFC system under hybrid cyber attacks and a modified IEEE 39‐bus New England test power system with 3 wind farms are simulated to explore the efficacy of the proposed method.

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Hierarchical-Attention-Based Defense Method for Load Frequency Control System Against DoS Attack

Cited by 24 publications

References 25 publications

Attack-Resilient Distributed Convex Optimization of Cyber–Physical Systems Against Malicious Cyber-Attacks Over Random Digraphs

Attack-Resilient Distributed Convex Optimization of Cyber–Physical Systems Against Malicious Cyber-Attacks Over Random Digraphs

A novel detection and defense mechanism against false data injection attack in smart grids

Robust networked power system load frequency control against hybrid cyber attack

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