A Novel Bilevel False Data Injection Attack Model Based on Pre- and Post- Dispatch

Gao, Shibin; Lei, Jieyu; Wei, Xiaoguang; Liu, Yigu; Wang, Tao

doi:10.1109/tsg.2022.3156445

Cited by 7 publications

(4 citation statements)

References 7 publications

(16 reference statements)

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“…In the LR attack model, extensive attention has been paid to constructing a representative attack vector and investigating the system response (Yuan et al, 2011;Gao et al, 2022). LR attack against state estimation was first proposed by Liu et al ((2011), which is a coordinated cyberattack against state estimation.…”

Section: Methodsmentioning

confidence: 99%

Planning and Operation Strategies for Enhancing Power System Flexibility in Low-Carbon Energy Transition

2024

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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Section: Methodsmentioning

confidence: 99%

Planning and Operation Strategies for Enhancing Power System Flexibility in Low-Carbon Energy Transition

2024

Frontiers Research Topics

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“…In the LR attack model, extensive attention has been paid to constructing a representative attack vector and investigating the system response (Yuan et al, 2011;Liu et al, 2015;Gao et al, 2022). LR attack against state estimation was first proposed by Liu et al ((2011), which is a coordinated cyberattack against state estimation.…”

Section: Introductionmentioning

confidence: 99%

“…In the work of Liu and Li (2014) and , the concept of an attack zone is introduced, and the regional LR attack model is proposed. In the work of Gao et al (2022), an LR attack model was built based on pre-and post-dispatch, which can lead the system to an uneconomic and insecure operating state. In the work of , a simple approach was used to determine an effective attack vector to change the load data sent to the control center.…”

Section: Introductionmentioning

confidence: 99%

Modeling and assessing load redistribution attacks considering cyber vulnerabilities in power systems

Shi,

Guo,

Wang

et al. 2023

Front. Energy Res.

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Introduction: Load Redistribution (LR) attacks, as a common form of false data injection attack, have emerged as a significant cybersecurity threat to power system operations by manipulating load buses’ measurements at substations. Existing LR attack methods typically assume that any substation can be equally attacked, contributing to the analysis of LR attacks in power systems. However, the diversity of cyber vulnerabilities in substation communication links implies varying costs associated with falsifying load buses’ measurements. Thus, quantitatively evaluating these costs and analyzing the impact of LR attacks on power systems within cost constraints holds practical significance.Methods: In this paper, we employ a Bayesian attack graph model to characterize the intrusion process through cyber vulnerabilities. The costs of falsifying load buses’ measurements at substations are quantitatively evaluated using the mean time-to-compromise model. Subsequently, from the attacker’s perspective, we propose a bi-level optimization model for LR attacks, considering the mean time to compromise in conjunction with limited attack resources and power flow constraints.Results: Simulations conducted on the IEEE 14-bus system illustrate the influence of cyber vulnerabilities on LR attacks within power systems. Furthermore, we verify that the attack scenario of the existing LR attack model aligns with a case of the proposed bi-level LR attack model when there is sufficient attack time to compromise all communication links.Discussion: The findings of this research demonstrate that the impact of cyber vulnerabilities on LR attacks can be quantified by assessing the attack costs. Effective management of LR attacks can be achieved under cost constraints through optimization methods. These insights contribute to enhancing network security strategies for power systems, mitigating potential threats posed by LR attacks in power system operations.

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“…In the previous studies of cascading failure, the attack is simplified as Denial-of-Service attack, directly malfunctioning the targeted cyber nodes, and breaking down the connected physical nodes through coupling links [13][14][15]. However, most attacks in reality are secluded, and stealthily destroy systems through falsifying received systems data, like false data injection attack [21][22][23].…”

mentioning

confidence: 99%

Dynamics of cascading failure in cyber-physical power systems from cyber attack

Chen,

Guo,

Dou

et al. 2024

Phys. Scr.

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Through communication network, cyber-physical power systems can effectively monitor and control physical power grid, but this also increases the danger to systems from cyber attack. In this paper, we study the cascading failure triggered by cyber attack, which infects cyber nodes through malware and to endanger physical nodes through coupling links. First, the flow and topology models for cyber-physical power systems are detailed. In communication network, we analyze the mechanism of diffusion and infection among cyber nodes, and differentiate cyber nodes into three types, corresponding to different state of cyber nodes before and after cyber attack. And in physical power grid, the types of physical nodes are also classified. For different state of cyber nodes, we detail their impact on physical nodes and power flows in physical power grid. Simulation analyzes the robustness of systems and dynamics of cascading failure in different attack scenes and topology structure.

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A Novel Bilevel False Data Injection Attack Model Based on Pre- and Post- Dispatch

Cited by 7 publications

References 7 publications

Planning and Operation Strategies for Enhancing Power System Flexibility in Low-Carbon Energy Transition

Planning and Operation Strategies for Enhancing Power System Flexibility in Low-Carbon Energy Transition

Modeling and assessing load redistribution attacks considering cyber vulnerabilities in power systems

Dynamics of cascading failure in cyber-physical power systems from cyber attack

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