☆ 4.6 Article

Multi-Objective False Data Injection Attacks of Cyber-Physical Power Systems

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2022)

Related references

Note: Only part of the references are listed.

Article Engineering, Electrical & Electronic

Cascading Failure Analysis of CyberPhysical Power Systems Considering Routing Strategy

Xingle Gao et al.

Summary: In this paper, a novel model is developed to study cascading failure in cyber-physical power systems. A discrete packet traffic model is used to describe dynamic data transmission in the information network, following a specific routing strategy. Furthermore, a dynamic load flow model that considers the power-frequency characteristics of loads and generators is applied to describe the dynamic flow process of the power network. The proposed model allows considering the impacts of data packet transmission failures and voltage-related failures in the cascading process. The effects of routing strategy and information network topology on the severity of cascading failure are analyzed, and simulation results confirm the model's applicability and reveal the influence of routing strategy on cascading failure in cyber-coupled systems. Moreover, it is shown that using the main hub in the information network as a dispatching center, along with a spread out degree distribution of the information network, reduces the severity of cascading failure in the cyber-coupled system.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2023)

Add to Collection

Article Automation & Control Systems

Constrained-Differential-Evolution-Based Stealthy Sparse Cyber-Attack and Countermeasure in an AC Smart Grid

Kang-Di Lu et al.

Summary: This article investigates the stealthy cyber-attack and its countermeasure in smart grids. A stealthy sparse cyber-attack model is proposed, and a constrained optimization problem is formulated to design the model by minimizing the number of contaminated meters. A generalized-cumulative-sum-based detector is developed to detect the proposed cyber-attacks. Numerical studies demonstrate the feasibility and effectiveness of the proposed countermeasure.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Distributed Data-Driven Intrusion Detection for Sparse Stealthy FDI Attacks in Smart Grids

Jiayu Shi et al.

Summary: This paper proposes a distributed data-driven intrusion detection approach to reveal the existence of stealthy false data injection attacks in power systems and avoid overfitting issues. The method first estimates the entire system state using a distributed state estimation algorithm, and then uses the state of each local area to train neural networks for attack detection. Simulation results on the IEEE 118-bus system demonstrate that the proposed method not only reduces the risk of overfitting but also can pinpoint the areas that have been attacked.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Vulnerability Assessment of Power Grids Against Cost-Constrained Hybrid Attacks

Xiaolin Gao et al.

Summary: This study models hybrid attacks in power systems and proposes attack centrality metrics, greedy hybrid attack, and optimal hybrid attack algorithms. Simulation results demonstrate that the optimal attack is more effective than the greedy one, and, surprisingly, local centrality based attack algorithms outperform global centrality based ones when attack cost is a concern.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2021)

Add to Collection

Article Computer Science, Information Systems

On the security of ANN-based AC state estimation in smart grid

Tian Liu et al.

Summary: This paper investigates the impact of adversarial false data injection attacks on ANN-based state estimation, proposing two algorithms to generate attack vectors and evaluating their performance through simulations under different attack scenarios. The results show that the DE algorithm is more effective than SLSQP in all cases, successfully degrading the accuracy of ANN state estimation.

COMPUTERS & SECURITY (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Finite-Time Event-Triggered Control for Semi-Markovian Switching Cyber-Physical Systems With FDI Attacks and Applications

Wenhai Qi et al.

Summary: This paper discusses the finite-time event-triggered control problem for nonlinear semi-Markovian switching cyber-physical systems under false data injection attacks. The proposed event-triggered scheme effectively avoids network resource waste and establishes a closed-loop system model considering network-induced delay. By analyzing stochastic finite-time stability of the closed-loop system, the solvability conditions for the finite-time controller are established.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS (2021)

Add to Collection

Article Computer Science, Theory & Methods

Stealthy MTD Against Unsupervised Learning-Based Blind FDI Attacks in Power Systems

Martin Higgins et al.

Summary: This paper explores the vulnerability of moving target defenses (MTD) in power systems to unsupervised learning-based false data injection (FDI) attacks, and proposes a method to combine MTD with physical watermarking to enhance system resilience. A novel intelligent attack incorporating dimensionality reduction and density-based spatial clustering is shown to effectively maintain stealth against traditional MTD strategies.

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Fusion-Based FDI Attack Detection in Cyber-Physical Systems

Lingjie Gao et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Vulnerability Assessment of Power Grids Against Link-Based Attacks

Cunlai Pu et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Analysis of Malware-Induced Cyber Attacks in Cyber-Physical Power Systems

Sheng Xu et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2020)

Add to Collection

Article Engineering, Electrical & Electronic

False Data Injection Attacks in Electricity Markets by Limited Adversaries: Stochastic Robustness

Ali Tajer

IEEE TRANSACTIONS ON SMART GRID (2019)

Add to Collection

Article Engineering, Electrical & Electronic

False Data Injection Attacks Induced Sequential Outages in Power Systems

Liang Che et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2019)

Add to Collection

Article Engineering, Electrical & Electronic

A Generalized False Data Injection Attacks Against Power System Nonlinear State Estimator and Countermeasures

Junbo Zhao et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2018)

Add to Collection

Article Engineering, Electrical & Electronic

A Robust Iterated Extended Kalman Filter for Power System Dynamic State Estimation

Junbo Zhao et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2017)

Add to Collection

Article Computer Science, Theory & Methods

On False Data-Injection Attacks against Power System State Estimation: Modeling and Countermeasures

Qingyu Yang et al.

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2014)

Add to Collection

Article Engineering, Electrical & Electronic

Detecting False Data Injection Attacks on Power Grid by Sparse Optimization

Lanchao Liu et al.

IEEE TRANSACTIONS ON SMART GRID (2014)

Add to Collection

Article Computer Science, Information Systems

False Data Injection Attacks against State Estimation in Electric Power Grids

Yao Liu et al.

ACM TRANSACTIONS ON INFORMATION AND SYSTEM SECURITY (2011)

Add to Collection

Article Engineering, Electrical & Electronic

MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education

Ray Daniel Zimmerman et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2011)

Add to Collection

Article Computer Science, Artificial Intelligence

A faster algorithm for calculating hypervolume

L While et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2006)

Add to Collection

Article Computer Science, Artificial Intelligence

A fast and elitist multiobjective genetic algorithm: NSGA-II

K Deb et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)

Add to Collection

© Peeref 2019-2024. All rights reserved.