Intelligent routing based on reinforcement learning for software-defined networking
DM Casas-Velasco, OMC Rendon… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Traditional routing protocols employ limited information to make routing decisions, which
can lead to a slow adaptation to traffic variability, as well as restricted support to the Quality …
can lead to a slow adaptation to traffic variability, as well as restricted support to the Quality …
An SDN architecture for time sensitive industrial IoT
Abstract Industrial Internet of Things (IoT) applications have diverse network session
requirements. Certain critical applications, such as emergency alert relay, industrial floor …
requirements. Certain critical applications, such as emergency alert relay, industrial floor …
ML-based pre-deployment SDN performance prediction with neural network boosting regression
Software defined networking (SDN) has been proposed as an effective approach to improve
network management efficiency and increase network intelligence in various networks …
network management efficiency and increase network intelligence in various networks …
A comprehensive survey on machine learning using in software defined networks (SDN)
S Faezi, A Shirmarz - Human-Centric Intelligent Systems, 2023 - Springer
These days, Internet coverage and technologies are growing rapidly, hence, it makes the
network more complex and heterogeneous. Software defined network (SDN) revolutionized …
network more complex and heterogeneous. Software defined network (SDN) revolutionized …
Fed-TSN: Joint failure probability-based federated learning for fault-tolerant time-sensitive networks
V Balasubramanian, M Aloqaily… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) applications have diverse network session requirements.
Certain critical applications, such as emergency alert relays, as well as industrial floor …
Certain critical applications, such as emergency alert relays, as well as industrial floor …
[HTML][HTML] How AI-enabled SDN technologies improve the security and functionality of industrial IoT network: Architectures, enabling technologies, and opportunities
The ongoing expansion of the Industrial Internet of Things (IIoT) is enabling the possibility of
effective Industry 4.0, where massive sensing devices in heterogeneous environments are …
effective Industry 4.0, where massive sensing devices in heterogeneous environments are …
DIVERGENCE: Deep reinforcement learning-based adaptive traffic inspection and moving target defense countermeasure framework
Reinforcement learning (RL) is a promising approach for intelligent agents to protect a given
system under highly hostile environments. RL allows the agent to adaptively make …
system under highly hostile environments. RL allows the agent to adaptively make …
Deep reinforcement learning-based traffic sampling for multiple traffic analyzers on software-defined networks
Intrusion detection system (IDS) and deep packet inspection (DPI) are widely used to detect
network attacks and anomalies, thereby enhancing cyber-security. Conventional traffic …
network attacks and anomalies, thereby enhancing cyber-security. Conventional traffic …
Link Traffic-Delay Mapping Model Learning Based on Multi-Class Samples in Software-Defined Networks
X Zhang, M Wang, Y Zheng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Delays are crucial factors in the service management of networks, especially software-
defined networks. Unfortunately, it is very difficult to accurately model a traffic-delay mapping …
defined networks. Unfortunately, it is very difficult to accurately model a traffic-delay mapping …
Revisiting heavy-hitter detection on commodity programmable switches
Existing in-network heavy-hitter detection algorithms suffer from several shortcomings. On
the one hand, most of the algorithms perform monitoring in intervals and reset the data …
the one hand, most of the algorithms perform monitoring in intervals and reset the data …