Detection of false data injection attacks using unscented Kalman filter
Journal of Modern Power Systems and Clean Energy, 2018 It has recently been shown that state estimation (SE), which is the most important real-time function in modern energy management systems (EMSs), is vulnerable to false data injection attacks, due to the undetectability of those attacks using standard ...
Nemanja ŽIVKOVIĆ, Andrija T. SARIĆ
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An Unknown Input Multi-Observer Approach for Estimation, Attack Isolation, and Control of LTI Systems under Actuator Attacks [PDF]
, 2018 We address the problem of state estimation, attack isolation, and control for discrete-time Linear Time Invariant (LTI) systems under (potentially unbounded) actuator false data injection attacks.
blanke +8 more
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Sparse Malicious False Data Injection Attacks and Defense Mechanisms in Smart Grids [PDF]
, 2015 This paper discusses malicious false data injection attacks on the wide area measurement and monitoring system in smart grids. Firstly, methods of constructing sparse stealth attacks are developed for two typical scenarios: random attacks in which ...
Chin, WH +4 more
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A novel secure diffusion Kalman filter algorithm against false data injection attacks
IET Communications, 2021 This paper proposes a novel secure diffusion Kalman filter (dKF) algorithm to improve the estimation performance crippled by false data injection attacks on sensors in wireless sensor networks (WSNs).
Yanan Du, Ning Li, Yonggang Zhang
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Distributed Energy Management for Port Power System under False Data Injection Attacks
Complexity, 2022 This paper investigates a distributed energy management strategy for the port power system under false data injection attacks. The attacker can tamper with the interaction information of energy equipment, penetrate the boundary between port information ...
Qihe Shan +3 more
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Actuators, 2023 This paper addresses the displacement path-following problem for a class of disturbed cart-pendulum systems under the fake data injection (FDI) actuator attacks.
Jiadong Liu +3 more
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Vulnerability Assessment of Large-scale Power Systems to False Data Injection Attacks
, 2020 This paper studies the vulnerability of large-scale power systems to false data injection (FDI) attacks through their physical consequences. Prior work has shown that an attacker-defender bi-level linear program (ADBLP) can be used to determine the worst-
Chu, Zhigang +3 more
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State vulnerability assessment against false data injection attacks in AC state estimators
Energy Conversion and Economics, 2022 The transformation of the conventional power grid into a smart grid has revolutionised the power industry. However, this has also made the power grid vulnerable to various cyberattacks.
Gaurav Khare +2 more
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Subspace Methods for Data Attack on State Estimation: A Data Driven Approach [PDF]
, 2014 Data attacks on state estimation modify part of system measurements such that the tempered measurements cause incorrect system state estimates. Attack techniques proposed in the literature often require detailed knowledge of system parameters.
Jinsub Kim +3 more
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Consensus-Based Distributed Target Tracking with False Data Injection Attacks over Radar Network
Applied Sciences, 2021 For target tracking in radar network, any anomaly in a part of the system can quickly spread over the network and lead to tracking failures. False data injection (FDI) attacks can damage the state estimation mechanism by modifying the radar measurements ...
Yongtao Shui +5 more
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