Detection of False Data Injection Attacks in Smart Grid Utilizing ELM-Based OCON Framework
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DOI: 10.1109/access.2019.2902910
Abstract: False data injection (FDI) attacks, as a new class of cyberattacks, bring a severe threat to the security and reliable operation of the smart grid by damaging the state estimation of the power system. To… read more here.
Keywords: bus; data injection; false data; smart grid ... See more keywords
Strategic Protection Against FDI Attacks With Moving Target Defense in Power Grids
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2021.3100411
Abstract: Moving target defense (MTD) is a new defensive strategy protecting the power system state estimation from cyberattacks. Using the distributed flexible ac transmission system (D-FACTS), MTD works by actively perturbing the branch parameters that are… read more here.
Keywords: mtd; fdi; target defense; moving target ... See more keywords
Distributed Finite-Time Consensus Tracking Control for Nonlinear Multi-Agent Systems With FDI Attacks and Application to Single-Link Robots
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3220359
Abstract: This brief considers the distributed finite-time consensus tracking control problem for nonlinear multi-agent systems with false data injection (FDI) attacks. Firstly, since instability is inevitable when false datas are injected into the researched system, a… read more here.
Keywords: control; distributed finite; finite time; fdi attacks ... See more keywords
Distributed Estimation With Cross-Verification Under False Data-Injection Attacks.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3197591
Abstract: Under false data-injection (FDI) attacks, the data of some agents are tampered with by the FDI attackers, which causes that the distributed algorithm cannot estimate the ideal unknown parameter. Due to the concealment of the… read more here.
Keywords: cross verification; detection; fdi attacks; data injection ... See more keywords
Lyapunov-Based Control of a Nonlinear Multiagent System With a Time-Varying Input Delay Under False-Data-Injection Attacks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3106009
Abstract: This article introduces a Lyapunov-based nonlinear control scheme that mitigates false-data-injection (FDI) attacks in real time for a centralized multiagent system (MAS) with nonlinear Euler–Lagrange dynamics with additive disturbances and input delays. Since the state… read more here.
Keywords: multiagent system; false data; data injection; lyapunov based ... See more keywords
Codesign of FDI Attacks Detection, Isolation, and Mitigation for Complex Microgrid Systems: An HBF-NN-Based Approach.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3230056
Abstract: The primary purpose of this article is to design an intelligent false data injection (FDI) attacks detection, isolation, and mitigation scheme for a class of complex microgrid systems with electric vehicles (EVs). First, a networked… read more here.
Keywords: detection; fdi attacks; attacks detection; isolation mitigation ... See more keywords
Detection and Prediction of FDI Attacks in IoT Systems via Hidden Markov Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3161479
Abstract: False data injection (FDI) attacks aim to threaten the security of Internet of Things (IoT) systems by falsifying a device's measurements without being detected. In this paper, we propose a process for detecting and predicting… read more here.
Keywords: hidden markov; detection prediction; fdi attacks; detection ... See more keywords
Evaluation of Reinforcement Learning-Based False Data Injection Attack to Automatic Voltage Control
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2018.2790704
Abstract: False data injection (FDI) attacks intend to threaten the security of power systems. In this paper, a novel strategy of FDI attacks is proposed, which aims to distort normal operation of a power system regulated… read more here.
Keywords: data injection; attack; false data; automatic voltage ... See more keywords
Optimal Coding Schemes for Detecting False Data Injection Attacks in Power System State Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2021.3107972
Abstract: As a side-effect-free method, meter coding can successfully detect stealthy false data injection (FDI) attacks without significantly affecting physical plants by encoding the sensor outputs with an invertible matrix. However, since the relationship between the… read more here.
Keywords: coding schemes; fdi attacks; power; state estimation ... See more keywords
Co-Estimation of State and FDI Attacks and Attack Compensation Control for Multi-Area Load Frequency Control Systems Under FDI and DoS Attacks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2022.3147693
Abstract: This paper proposes a co-estimation and resilient compensation control framework for multi-area load frequency control (LFC) systems in the presence of false data injection (FDI) attacks and denial-of-service (DoS) attacks. To relax the requirement on… read more here.
Keywords: state; compensation; control; fdi attacks ... See more keywords