Results 91 to 100 of about 702 (166)
Analysis of machine-learning algorithms for detection of cyber attacks in smart grid [PDF]
Smart grids are playing an essential role to digitalize power networks by enabling automation and data-driven methods. However, growing reliance on automation and data-driven decision-making makes these systems encounter various cyber threats, especially
Zhu, Jiacheng
core
Detection of False Data Injection Attacks Using the Autoencoder Approach
, 2020 State estimation is of considerable significance for the power system operation and control. However, well-designed false data injection attacks can utilize blind spots in conventional residual-based bad data detection methods to manipulate measurements ...
Palensky, Peter +3 more
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A new nonlinear virtual inertia approach to mitigate destructive effects of cyber attacks on active power and rotor speed profiles of wind turbine DFIG sustainable energy production [PDF]
As the popularity of applying doubly fed induction generators (DFIGs) in wind and marine current turbine generators of sustainable energy production, the requirement to the deep survey on cyber attacks and mitigation techniques against them is undeniable.
Guerrero Zapata, Josep Maria +2 more
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IEEE AccessWith the deeper penetration of inverter-based resources in power systems, false data injection attacks (FDIA) are a growing cyber-security concern. They have the potential to disrupt the system’s stability like frequency stability, thereby leading
Abhijeet Sahu +4 more
doaj +1 more source
Cyber threat intelligence for smart grids using knowledge graphs, digital twins, and hybrid machine learning in SCADA networks [PDF]
In the SCADA (Supervisory Control and Data Acquisition) network of a smart grid, the network switch is connected to multiple Intelligent Electronic Devices (IEDs) that are based on protective relays.
Al Hamadi, Hussam +3 more
core +2 more sources
EngineeringAs the number of distributed power supplies increases on the user side, smart grids are becoming larger and more complex. These changes bring new security challenges, especially with the widespread adoption of data-driven control methods.
Zengji Liu, Mengge Liu, Qi Wang, Yi Tang
doaj +1 more source
IEEE Open Journal of the Communications SocietyFalse-Data Injection Attack (FDIA), Remote-Tripping Command Injection (RTCI), and System Reconfiguration Attack (SRA) on SCADA (Supervisory Control and Data Acquisition) networks impact industry 5.0 enabled smart grid components such as intelligent ...
Nabeel Al-Qirim +4 more
doaj +1 more source
Research on False Data Injection Attack Identification based on CNN-CBAM
Guangtongxin yanjiu【Objective】It is always difficult to timely locate the location of the network attack and achieve rapid deployment of defense strategies when the smart grid is attacked by the network.【Methods】In order to solve this problem, this article proposes a ...
ZHOU Xianjun, WANG Ru, LIU Hang, JIN Bo
doaj
Modeling and Mitigating Power Grid Vulnerabilities: A Comprehensive Analysis of Renewable Energy Integration, Cascading Failures, and Microgrid Resilience [PDF]
In modern power systems, rapid integration of renewable energy and the emergence of microgrid technology emphasize the necessity for a comprehensive understanding of vulnerabilities and robust defense mechanisms.
Das, Saikat
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IEEE Open Journal of the Communications SocietySmart grid cybersecurity is a critical research challenge due to society’s dependence on reliable electricity. Existing research primarily addresses cybersecurity by focusing on the optimal placement of phasor measurement units (PMUs) to ensure ...
Ramzi Al-Sharawi +4 more
doaj +1 more source