Graph and Machine Learning Solutions for Smart Grid and Mobile Network Security
K Nagaraj - 2022 - search.proquest.com
Cyber attacks that target data integrity or network infrastructure constantly evolve and act as
a threat to the integrity of the dependent real world applications. Traditional physics based or …
a threat to the integrity of the dependent real world applications. Traditional physics based or …
Graph Neural Network-Based Cybersecurity of Smart Grids
O Boyaci - 2022 - oaktrust.library.tamu.edu
Power grids are currently evolving into modern smart grids by integrating Information and
Communication Technologies (ICT) into large-scale power networks to generate, transmit …
Communication Technologies (ICT) into large-scale power networks to generate, transmit …
Analysis of cyber security attacks and its solutions for the smart grid using machine learning and blockchain methods
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
Glass: A graph learning approach for software defined network based smart grid ddos security
In recent years, smart grid communications (SGC) has evolved to use new technologies not
only for data delivery but also for enhanced smart grid (SG) security and reliability. Software …
only for data delivery but also for enhanced smart grid (SG) security and reliability. Software …
Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects
Abstract In modern Smart Grids (SGs) ruled by advanced computing and networking
technologies, condition monitoring relies on secure cyberphysical connectivity. Due to this …
technologies, condition monitoring relies on secure cyberphysical connectivity. Due to this …
Machine learning-enabled cyber security in smart grids
The National Institute of Standards and Technology (NIST) defined smart grid as a
combination of conventional electrical grid and information and communication technology …
combination of conventional electrical grid and information and communication technology …
A survey on the security of communication networks used in power distribution networks
F Saeidnejad, M Majidi - Soft Computing Journal, 2022 - scj.kashanu.ac.ir
The power industry is facing significant challenges, such as fossil fuel reduction,
greenhouse gas emissions, and the lack of automated analysis of the power grid. To tackle …
greenhouse gas emissions, and the lack of automated analysis of the power grid. To tackle …
Security Analysis of Attacks in SDN Based Smart Grids Network using Machine Learning and Deep Learning Techniques
P Malik - 2023 - era.library.ualberta.ca
Security Analysis of Attacks in SDN Based Smart Grids Network using Machine Learning and
Deep Learning Techniques by Ashish Unde Page 1 Security Analysis of Attacks in SDN Based …
Deep Learning Techniques by Ashish Unde Page 1 Security Analysis of Attacks in SDN Based …
A survey on cybersecurity challenges, detection, and mitigation techniques for the smart grid
The world is transitioning from the conventional grid to the smart grid at a rapid pace.
Innovation always comes with some flaws; such is the case with a smart grid. One of the …
Innovation always comes with some flaws; such is the case with a smart grid. One of the …
Security approaches in software defined networks using machine learning–a critical review
ZJ Mulani, S Vijaykumar - Artificial Intelligence, Blockchain …, 2024 - taylorfrancis.com
We will be transiting to Software-defined networks from the traditional network because of its
numerous application benefits like flexibility, scalability, network-wide visibility, and cost …
numerous application benefits like flexibility, scalability, network-wide visibility, and cost …