Deep reinforcement learning for securing software-defined industrial networks with distributed control plane

J Wang, J Liu, H Guo, B Mao - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
The development of software-defined industrial networks (SDIN) promotes the
programmability and customizability of the industrial networks and is suitable to cope with …

[HTML][HTML] Software-defined network-based proactive routing strategy in smart power grids using graph neural network and reinforcement learning

MA Islam, M Ismail, R Atat, O Boyaci… - E-Prime-Advances in …, 2023 - Elsevier
Smart power grid relies on sensors and actuators to provide continuous monitoring and
precise control functions. Two types of data and command packets are associated with such …

Fast path recovery for single link failure in SDN-enabled wide area measurement system

T Duan, V Dinavahi - IEEE Transactions on Smart Grid, 2021 - ieeexplore.ieee.org
In the wide area measurement system (WAMS), the end-to-end transmission delay between
the phasor measurement unit (PMU) and phasor data concentrator (PDC) is strictly …

Observability-Aware Resilient PMU Networking

MZ Islam, Y Lin, VM Vokkarane… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The essential role of the phasor measurement unit (PMU) network is to keep power grid
observable to system operators in normal and component failure conditions. In this paper …

[HTML][HTML] Ensemble learning framework for DDoS detection in SDN-based SCADA systems

S Oyucu, O Polat, M Türkoğlu, H Polat, A Aksöz… - Sensors, 2023 - mdpi.com
Supervisory Control and Data Acquisition (SCADA) systems play a crucial role in overseeing
and controlling renewable energy sources like solar, wind, hydro, and geothermal …

The key modules involved in the evolution of an effective instrumentation and communication network in smart grids: a review

PN Seema, MG Nair - Smart Science, 2023 - Taylor & Francis
The unabated growth in global energy demand since the advent of the 21st-century call for
augmented electrical power grids as a network of smart grids. The key components which …

Fault-tolerant SDN solution for cybersecurity applications

A Liatifis, C Dalamagkas… - Proceedings of the 17th …, 2022 - dl.acm.org
The rapid growth of computer networks in various sectors has led to new services previously
hard or impossible to implement. Internet of Things has also assisted in this evolution …

Moving target defense routing for SDN-enabled smart grid

M Abdelkhalek, B Hyder… - … on Cyber Security …, 2022 - ieeexplore.ieee.org
The increasing attack surface area in the smart grid communication networks is making the
grid more susceptible to cyber attacks that can lead to instability of the grid and even …

A bayesian game-theoretic intrusion detection system for hypervisor-based software defined networks in smart grids

RA Niazi, Y Faheem - IEEE Access, 2019 - ieeexplore.ieee.org
The future smart grids (SGs) require advanced capabilities in terms of automation,
processing, monitoring, and communication. The most crucial component in the successful …

[HTML][HTML] Microgrid systems: Towards a technical performance assessment frame

S Marchand, C Monsalve, T Reimann, W Heckmann… - Energies, 2021 - mdpi.com
A microgrid is an independent power system that can be connected to the grid or operated in
an islanded mode. This single grid entity is widely used for furthering access to energy and …