Increasing fault tolerance of data plane on the internet of things using the software-defined networks

KB Kiadehi, AM Rahmani, AS Molahosseini - PeerJ Computer Science, 2021 - peerj.com
Abstract Considering the Internet of Things (IoT) impact in today's world, uninterrupted
service is essential, and recovery has received more attention than ever before. Fault …

A qos-guaranteed and congestion-controlled sdn routing strategy for smart grid

Y Su, P Jiang, H Chen, X Deng - Applied Sciences, 2022 - mdpi.com
The smart grid (SG) is an integration of a traditional power grid with advanced information
and communication infrastructure for a large number of electrical applications. Despite all …

A hybrid game theory and reinforcement learning approach for cyber-physical systems security

J Khoury, M Nassar - NOMS 2020-2020 IEEE/IFIP Network …, 2020 - ieeexplore.ieee.org
Cyber-Physical Systems (CPS) are monitored and controlled by Supervisory Control and
Data Acquisition (SCADA) systems that use advanced computing, sensors, control systems …

[HTML][HTML] Study of smart grid communication network architectures and technologies

N Raza, MQ Akbar, AA Soofi, S Akbar - Journal of Computer and …, 2019 - scirp.org
Smart Grid (SG) is an emerging paradigm of the modern world to upgrade and enhance the
existing conventional electrical power infrastructure from generation to distribution to the …

Generative adversarial network-based transfer reinforcement learning for routing with prior knowledge

T Dong, Q Qi, J Wang, AX Liu, H Sun… - … on Network and …, 2021 - ieeexplore.ieee.org
With the incremental deployment of software defined networking, the routing algorithms
have gained more power on observability and controllability. Deep reinforcement learning …

Advancements and research trends in microgrids cybersecurity

GB Gaggero, P Girdinio, M Marchese - Applied Sciences, 2021 - mdpi.com
Microgrids are growing in importance in the Smart Grid paradigm for power systems.
Microgrid security is becoming crucial since these systems increasingly rely on information …

A hybrid deep learning model based low‐rate DoS attack detection method for software defined network

W Sun, S Guan, P Wang, Q Wu - Transactions on Emerging …, 2022 - Wiley Online Library
Abstract The low‐rate DoS (LDoS) attack is a new kind of network attack which has the
characteristics such as low speed and good concealment. The software defined network, as …

Software defined networks (SDNs) for environmental surveillance: A Survey

R Kumar, N Agrawal - Multimedia Tools and Applications, 2024 - Springer
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 …

Virtualization management concept for flexible and fault-tolerant smart grid service provision

S Attarha, A Narayan, B Hage Hassan, C Krüger… - Energies, 2020 - mdpi.com
In modern power systems, reliable provision of grid services (eg, primary and ancillary
services) are highly dependent on automation systems in order to have monitoring …

The Scientific Landscape of Smart Water Meters: A Comprehensive Review

AJ Zapata-Sierra, E Salmerón-Manzano, A Alcayde… - Water, 2023 - mdpi.com
This review underscores the escalating global research trend in this field since 2000. The
primary scientific disciplines contributing to extensive research on smart water meters are …