[HTML][HTML] Protection of a smart grid with the detection of cyber-malware attacks using efficient and novel machine learning models
False data injection (FDI) attacks regularly target smart grids. It is impossible to detect FDI
attacks using current bad data detection methods. Machine learning is one method for …
attacks using current bad data detection methods. Machine learning is one method for …
Smart grid cyber attacks detection using supervised learning and heuristic feature selection
J Sakhnini, H Karimipour… - 2019 IEEE 7th …, 2019 - ieeexplore.ieee.org
False Data Injection (FDI) attacks are a common form of Cyber-attack targetting smart grids.
Detection of stealthy FDI attacks is impossible by the current bad data detection systems …
Detection of stealthy FDI attacks is impossible by the current bad data detection systems …
Detection of cyber attacks in smart grids using SVM-boosted machine learning models
HS Alwageed - Service Oriented Computing and Applications, 2022 - Springer
False data injection, sometimes known as FDI, is a common form of assault that is launched
against smart grids. The faulty data detection methods that are now in use are unable to …
against smart grids. The faulty data detection methods that are now in use are unable to …
Detection of false data attacks in smart grid with supervised learning
The threat of false data injection (FDI) attacks have raised wide interest in the research and
development of smart grid security. This paper presents a comparative study on the …
development of smart grid security. This paper presents a comparative study on the …
Machine learning based false data injection in smart grid
Smart Grid is the seamless integration of advance digital communication network, state of
the art control technologies, and power system infrastructure working together as an entity to …
the art control technologies, and power system infrastructure working together as an entity to …
A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids
Smart grids are a type of complex cyber–physical system (CPS) that integrates the
communication capabilities of smart devices into the grid to facilitate remote operation and …
communication capabilities of smart devices into the grid to facilitate remote operation and …
[HTML][HTML] False data injection attack detection in dynamic power grid: A recurrent neural network-based method
F Zhang, Q Yang - Frontiers in Energy Research, 2022 - frontiersin.org
The smart grid greatly facilitates the transmission of power and information by integrating
precise measurement technology and efficient decision support systems. However, deep …
precise measurement technology and efficient decision support systems. However, deep …
Multi Label Deep Learning classification approach for False Data Injection Attacks in Smart Grid.
A VS - KSII Transactions on Internet & Information Systems, 2021 - search.ebscohost.com
The smart grid replaces the traditional power structure with information inventiveness that
contributes to a new physical structure. In such a field, malicious information injection can …
contributes to a new physical structure. In such a field, malicious information injection can …
[HTML][HTML] Review of cybersecurity analysis in smart distribution systems and future directions for using unsupervised learning methods for cyber detection
In a physical microgrid system, equipment failures, manual misbehavior of equipment, and
power quality can be affected by intentional cyberattacks, made more dangerous by the …
power quality can be affected by intentional cyberattacks, made more dangerous by the …
KFRNN: An effective false data injection attack detection in smart grid based on Kalman filter and recurrent neural network
The smart grid is now increasingly dependent on smart devices to operate, which leaves
space for cyber attacks. Especially, the intentionally designed false data injection attack …
space for cyber attacks. Especially, the intentionally designed false data injection attack …