Attack graph model for cyber-physical power systems using hybrid deep learning
Electrical power grids are vulnerable to cyber attacks, as seen in Ukraine in 2015 and 2016.
However, existing attack detection methods are limited. Most of them are based on power …
However, existing attack detection methods are limited. Most of them are based on power …
EV hosting capacity enhancement in a community microgrid through dynamic price optimization-based demand response
Community microgrids, as an emerging technology, offer resiliency in operation for smart
grids. Microgrids are seeing an increased penetration of eco-friendly electric vehicles (EVs) …
grids. Microgrids are seeing an increased penetration of eco-friendly electric vehicles (EVs) …
Smart Grids Empowered by Software-Defined Network: A Comprehensive Review of Advancements and Challenges
W Velasquez, GZ Moreira-Moreira… - IEEE …, 2024 - ieeexplore.ieee.org
The integration of Software-Defined Networking (SDN) technology in Smart Grids has
emerged as a transformative approach to modernizing energy infrastructures and enhancing …
emerged as a transformative approach to modernizing energy infrastructures and enhancing …
CoMap: An efficient virtual network re-mapping strategy based on coalitional matching theory
Virtualization of resources has been adopted in different environments such as wireless
sensor networks (WSN), 5G networks, Fog computing, Internet of Things (IoT), and …
sensor networks (WSN), 5G networks, Fog computing, Internet of Things (IoT), and …
Software defined networks (SDNs) for environmental surveillance: A Survey
There have been a number of new technologies and applications that can track various
events and activities in a variety of environments. Software Defined Networking (SDN) is one …
events and activities in a variety of environments. Software Defined Networking (SDN) is one …
VNF orchestration and power-disjoint traffic flow routing for optimal communication robustness in smart grid with cyber-physical interdependence
We explore the use of software-defined networking (SDN) technology in building a
communication network for smart grid. With cyber-physical interdependence, such …
communication network for smart grid. With cyber-physical interdependence, such …
Fast and efficient algorithm for delay-sensitive QoS provisioning in SDN networks
Abstract Adoption of Software-Defined Networks (SDN) as a new networking paradigm,
promises solutions for Quality of Service (QoS) management issues raised at the service …
promises solutions for Quality of Service (QoS) management issues raised at the service …
SARM: A network State-Aware Adaptive Routing Mutation method for power IoT
T Zheng, J Tan, X Wu, R Hu, Q Chen, Z Liu, Y Du - Computer Networks, 2024 - Elsevier
With the rapid development of Power Internet of Things (PIoT), the application of Internet of
Things technology in smart grids is becoming increasingly widespread, but it also enlarges …
Things technology in smart grids is becoming increasingly widespread, but it also enlarges …
Deep learning-powered intrusion detection systems: enhancing efficiency in network security
M Balamurugan, UB Varanasi… - … on Advances in …, 2024 - ieeexplore.ieee.org
Although deep learning models have shown impressive results in various fields, their
intrinsic complexity sometimes makes them difficult to understand, raising questions about …
intrinsic complexity sometimes makes them difficult to understand, raising questions about …
Recursive Learning Based Smart Energy Management With Two-Level Dynamic Pricing Demand Response
Due to dynamic characteristic of demand response and stochastic nature of power
generation, it brings great challenge to smart energy management. In this paper, a demand …
generation, it brings great challenge to smart energy management. In this paper, a demand …